Results for 'multifactorial weighting model'

962 found
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  1. The case for the comparator model as an explanation of the sense of agency and its breakdowns.Glenn Carruthers - 2012 - Consciousness and Cognition 21 (1):30-45.
    I compare Frith and colleagues’ influential comparator account of how the sense of agency is elicited to the multifactorial weighting model advocated by Synofzik and colleagues. I defend the comparator model from the common objection that the actual sensory consequences of action are not needed to elicit the sense of agency. I examine the comparator model’s ability to explain the performance of healthy subjects and those suffering from delusions of alien control on various self-attribution tasks. (...)
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  2. (1 other version)Universal etiology, multifactorial diseases and the constitutive model of disease classification.Jonathan Fuller - 2018 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 67:8-15.
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  3. Low Birth Weight Prediction Using JNN.Osama Salah El-Din Al-Madhoun, Afnan Omar Abu Hasira, Soha Ahmed Hegazy & Samy S. Abu-Naser - 2020 - International Journal of Academic Health and Medical Research (IJAHMR) 4 (11):8-14.
    Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases (...)
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  4. Modelling competing legal arguments using Bayesian model comparison and averaging.Martin Neil, Norman Fenton, David Lagnado & Richard David Gill - 2019 - Artificial Intelligence and Law 27 (4):403-430.
    Bayesian models of legal arguments generally aim to produce a single integrated model, combining each of the legal arguments under consideration. This combined approach implicitly assumes that variables and their relationships can be represented without any contradiction or misalignment, and in a way that makes sense with respect to the competing argument narratives. This paper describes a novel approach to compare and ‘average’ Bayesian models of legal arguments that have been built independently and with no attempt to make them (...)
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  5. Predicting Birth Weight Using Artificial Neural Network.Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):9-14.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in (...)
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  6. Catching the WAVE: The Weight-Adjusting Account of Values and Evidence.Boaz Miller - 2014 - Studies in History and Philosophy of Science Part A 47:69-80.
    It is commonly argued that values “fill the logical gap” of underdetermination of theory by evidence, namely, values affect our choice between two or more theories that fit the same evidence. The underdetermination model, however, does not exhaust the roles values play in evidential reasoning. I introduce WAVE – a novel account of the logical relations between values and evidence. WAVE states that values influence evidential reasoning by adjusting evidential weights. I argue that the weight-adjusting role of values is (...)
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  7. The Equal Weight Argument Against Religious Exclusivism.Samuel Ruhmkorff - 2013 - In Jeanine Diller & Asa Kasher (eds.), Models of God and Alternative Ultimate Realities. Springer.
    In the last decade, analytic epistemologists have engaged in a lively debate about Equal Weight, the claim that you should give the credences of epistemic peers the same consideration as your own credences. In this paper, I explore the implications of the debate about Equal Weight for how we should respond to religious disagreement found in the diversity of models of God. I first claim that one common argument against religious exclusivism and for religious pluralism can be articulated as an (...)
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  8. CSsEv: Modelling QoS Metrics in Tree Soft Toward Cloud Services Evaluator based on Uncertainty Environment.Mona Gharib, Florentin Smarandache & Mona Mohamed - 2024 - International Journal of Neutrosophic Science 23 (2):32-41.
    Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in the current (...)
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  9. Holistic modeling: an objection to Weisberg’s weighted feature-matching account.Wei Fang - 2017 - Synthese 194 (5):1743–1764.
    Michael Weisberg’s account of scientific models concentrates on the ways in which models are similar to their targets. He intends not merely to explain what similarity consists in, but also to capture similarity judgments made by scientists. In order to scrutinize whether his account fulfills this goal, I outline one common way in which scientists judge whether a model is similar enough to its target, namely maximum likelihood estimation method. Then I consider whether Weisberg’s account could capture the judgments (...)
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  10. Representing Concepts by Weighted Formulas.Daniele Porello & Claudio Masolo - 2018 - In Stefano Borgo, Pascal Hitzler & Oliver Kutz (eds.), Formal Ontology in Information Systems - Proceedings of the 10th International Conference, {FOIS} 2018, Cape Town, South Africa, 19-21 September 2018. IOS Press. pp. 55--68.
    A concept is traditionally defined via the necessary and sufficient conditions that clearly determine its extension. By contrast, cognitive views of concepts intend to account for empirical data that show that categorisation under a concept presents typicality effects and a certain degree of indeterminacy. We propose a formal language to compactly represent concepts by leveraging on weighted logical formulas. In this way, we can model the possible synergies among the qualities that are relevant for categorising an object under a (...)
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  11. ANN for Predicting Birth Weight.Shawwah Mohammad & Murshidy Suheil - 2020 - International Journal of Academic Health and Medical Research (IJAHMR) 1 (3):9-12.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in (...)
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  12. Scientific Models and Representation.Gabriele Contessa - 2011 - In Steven French & Juha Saatsi (eds.), Continuum Companion to the Philosophy of Science. Continuum. pp. 120--137.
    My two daughters would love to go tobogganing down the hill by themselves, but they are just toddlers and I am an apprehensive parent, so, before letting them do so, I want to ensure that the toboggan won’t go too fast. But how fast will it go? One way to try to answer this question would be to tackle the problem head on. Since my daughters and their toboggan are initially at rest, according to classical mechanics, their final velocity will (...)
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  13. The dual scale model of weighing reasons.Chris Tucker - 2021 - Noûs 56 (2):366-392.
    The metaphor of weighing reasons brings to mind a single (double-pan balance) scale. The reasons for φ go in one pan and the reasons for ~φ go in the other. The relative weights, as indicated by the relative heights of the two pans of the scale, determine the deontic status of φ. This model is simple and intuitive, but it cannot capture what it is to weigh reasons correctly. A reason pushes the φ pan down toward permissibility (has justifying (...)
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  14. Culture and Conceptualisation of Scientific Terms: An Analysis of the Concepts "Weight" and "Mass" in Arabic and French.Hicham Lahlou & Hajar Rahim - 2016 - Kemanusiaan 23 (Supp. 2):19-37.
    Studies on difficulties in understanding scientific terms have shown that the problem is more serious among non-Western learners. The main reasons for this are the learners' pre-existing knowledge of scientific terms, their native language incommensurability with Western languages, and the polysemy of the words used to denote scientific concepts. The current study is an analysis of the conceptualisation of scientific concepts in two culturally different languages, i.e. Arabic and French, which represent a non-Western language and a Western language respectively. Physics (...)
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  15. The Relationship between Correcting Deviations in Measuring Performance and Achieving the Objectives of Control - The Islamic University as a Model.Abed Alfetah M. AlFerjany, Ashraf A. M. Salama, Youssef M. Abu Amuna, Mazen J. Al Shobaki & Samy S. Abu-Naser - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (1):74-89.
    The study aimed to identify the relationship between correcting the deviations in the measurement of performance and achieving the objectives of control and the performance of the job at the Islamic University in the Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (20) statements distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the administrative board). (...)
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  16. The Role of Administrative Procedures and Regulations in Enhancing the Performance of The Educational Institutions - The Islamic University in Gaza is A Model.Ashraf A. M. Salama, Youssef M. Abu Amuna, Mazen J. Al Shobaki & Samy S. Abu-Naser - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (2):14-27.
    The study aimed to identify the role of administrative procedures and systems in enhancing the performance of the educational institutions in the Islamic University in Gaza. To achieve the research objectives, the researchers used the analytical descriptive approach to collect information. The researchers used the questionnaire distributed to three categories of employees at the Islamic University (senior management, faculty members, their assistants and members of the administrative board). A random sample of 314 employees was selected and 276 questionnaires were retrieved (...)
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  17. Mathematical electron model and the SI unit 2017 Special Adjustment.Malcolm J. Macleod - manuscript
    Following the 26th General Conference on Weights and Measures are fixed the numerical values of the 4 physical constants ($h, c, e, k_B$). This is premised on the independence of these constants. This article discusses a model of a mathematical electron from which can be defined the Planck units as geometrical objects (mass M=1, time T=2$\pi$ ...). In this model these objects are interrelated via this electron geometry such that once we have assigned values to 2 Planck units (...)
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  18. Machine Learning-Based Diabetes Prediction: Feature Analysis and Model Assessment.Fares Wael Al-Gharabawi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):10-17.
    This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to (...)
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  19. Action, Deontology, and Risk: Against the Multiplicative Model.Sergio Tenenbaum - 2017 - Ethics 127 (3):674-707.
    Deontological theories face difficulties in accounting for situations involving risk; the most natural ways of extending deontological principles to such situations have unpalatable consequences. In extending ethical principles to decision under risk, theorists often assume the risk must be incorporated into the theory by means of a function from the product of probability assignments to certain values. Deontologists should reject this assumption; essentially different actions are available to the agent when she cannot know that a certain act is in her (...)
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  20. You’ve come a long way, baby: the evolution of feminine identity models on the example of contemporary language of advertising.Natalia Anna Michna - 2016 - Polish Journal of Aesthetics 41 (2):99-117.
    The article presents the evolution of the language of advertising from the 1960s to the present, presenting various images of women in advertising. Simultaneously a theoretical analysis has been carried out of the demands of second-wave feminism, which exerted significant influence on the creation of images of women in the mass media. The objective of our comparison of feminist theory with advertising practice is an attempt to answer the question of whether the present media image of women liberated from the (...)
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  21. Development of Keyword Trend Prediction Models for Obesity Before and After the COVID-19 Pandemic Using RNN and LSTM: Analyzing the News Big Data of South Korea.Gayeong Eom & Haewon Byeon - 2022 - Frontiers in Public Health 10:894266.
    The Korea National Health and Nutrition Examination Survey (2020) reported that the prevalence of obesity (≥19 years old) was 31.4% in 2011, but it increased to 33.8% in 2019 and 38.3% in 2020, which confirmed that it increased rapidly after the outbreak of COVID-19. Obesity increases not only the risk of infection with COVID-19 but also severity and fatality rate after being infected with COVID-19 compared to people with normal weight or underweight. Therefore, identifying the difference in potential factors for (...)
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  22. Defining Neglected Disease.Alex Broadbent - 2011 - Biosocieties 6 (1):51-70.
    In this article I seek to say what it is for something to count as a neglected disease. I argue that neglect should be defined in terms of efforts at prevention, mitigation and cure, and not solely in terms of research dollars per disability-adjusted life-year. I further argue that the trend towards multifactorialism and risk factor thinking in modern epidemiology has lent credibility to the erroneous view that the primary problem with neglected diseases is a lack of research. A more (...)
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  23.  95
    Sensitive analysis of company market capitalization to its value changing calculated using DCF modeling and comparable companies valuation method.Igor Kryvovyazyuk & Oleksandr Burban - 2022 - Економічний Простір 179:55-61.
    The main goal of the article is a further development of the usage of income and comparable approaches to company valuation aimed at defining market capitalization sensitivity to value changing in the conditions of dynamization of internal and external business parameters. The relevance of the researched topic is determined by the importance of establishing the factors influencing the change in company market capitalization based on the synthesis of approaches to company valuation. To obtain the results of the study, the following (...)
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  24. The role of source reliability in belief polarisation.Leah Henderson & Alexander Gebharter - 2021 - Synthese 199 (3-4):10253-10276.
    Psychological studies show that the beliefs of two agents in a hypothesis can diverge even if both agents receive the same evidence. This phenomenon of belief polarisation is often explained by invoking biased assimilation of evidence, where the agents’ prior views about the hypothesis affect the way they process the evidence. We suggest, using a Bayesian model, that even if such influence is excluded, belief polarisation can still arise by another mechanism. This alternative mechanism involves differential weighting of (...)
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  25. A Holist Balance Scale.Chris Tucker - 2023 - Journal of the American Philosophical Association 9 (3):533-553.
    Scale-based models of weighing reasons face challenges concerning the context sensitivity of weight, the aggregation of weight, and the methodology for determining what the weights of reasons are. I resolve these challenges.
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  26. Rethinking the effects of performance expectancy and effort expectancy on new technology adoption: Evidence from Moroccan nursing students.Ni Putu Wulan Purnama Sari, Minh-Phuong Thi Duong, Dan Li, Minh-Hoang Nguyen & Quan-Hoang Vuong - manuscript
    Clinical practice is a part of the integral learning method in nursing education. The use of information and communication technologies (ICT) in clinical learning is highly encouraged among nursing students to support evidence-based nursing and student-centered learning. Through the information-processing lens of the mindsponge theory, this study views performance expectancy (or perceived usefulness) and effort expectancy (or perceived ease of use) as results of subjective benefit and cost judgments determining the students’ ICT using intention for supporting clinical learning, respectively. Therefore, (...)
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  27. Low attention impairs optimal incorporation of prior knowledge in perceptual decisions.Jorge Morales, Guillermo Solovey, Brian Maniscalco, Dobromir Rahnev, Floris P. de Lange & Hakwan Lau - 2015 - Attention, Perception, and Psychophysics 77 (6):2021-2036.
    When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination task. Here we test a signal detection theoretic model that counter-intuitively predicts subjects will do just the opposite in a discrimination task with two stimuli, one attended and one unattended: when subjects are probed to discriminate (...)
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  28.  72
    Self-Deception: A Case Study in Folk Conceptual Structure.Carme Isern-Mas & Ivar R. Hannikainen - forthcoming - Review of Philosophy and Psychology.
    Theoretical debates around the concept of self-deception revolve around identifying the conditions for a behavior to qualify as self-deception. Experiments 1 and 2 revealed that various candidate features—such as intent, belief change, and motive—are treated as sufficient, but non-necessary, conditions according to the lay concept of self-deception. This led us to ask whether there are multiple lay concepts, such that different participants endorse competing theories (the disagreement view), or whether individual participants assign partial weight to various features and consequently waver (...)
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  29.  52
    A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.Lode Lauwaert - 2023 - Artificial Intelligence Review 56:3473–3504.
    Since its emergence in the 1960s, Artifcial Intelligence (AI) has grown to conquer many technology products and their felds of application. Machine learning, as a major part of the current AI solutions, can learn from the data and through experience to reach high performance on various tasks. This growing success of AI algorithms has led to a need for interpretability to understand opaque models such as deep neural networks. Various requirements have been raised from diferent domains, together with numerous tools (...)
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  30. COLLABORATE FRAMEWORK BASED ON SOFTWARE DEFINED NETWORK IN MANET.S. Praveen Kumar - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):39-54.
    Create a novel network model for mobile ad hoc network (MANET) nodes and actors in wireless sensor networks to collaborate on event processing. There are two stages in the development of distributed algorithms: setup and negotiation. The first uses weighted proportional max-min fairness to initially allocate MANET nodes across event zones, whereas the latter uses a market-based method to re-distribute the number of MANET nodes based on existing and new events. A detection technique for malicious packet dropping attacks in (...)
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  31.  22
    Exploiting the In-Distribution Embedding Space with Deep Learning and Bayesian inference for Detection and Classification of an Out-of-Distribution Malware (Extended Abstract).Tosin Ige - forthcoming - Aaai Conference.
    Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network with (...)
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  32. Level of Stress, Coping Strategies and Academic Achievement of College Students during HyFlex Learning.Ivy Pearl Morento, Analyn Sayson, Gaile Ursal & Manuel Caingcoy - 2024 - Diversitas Journal 9 (1):0108–0127.
    Effective stress management strategies correlate with improved academic performance in college students, yet inconsistent findings in existing research warrant further investigation. This study explored the intricate interplay between stress levels, coping strategies, and academic achievement in HyFlex learningenvironments. A stratified random sample of 111 students from five specializations within the Bachelor of Secondary Education program participated. Utilizing a descriptive-correlational design, data were collected through validated self-report questionnaires and a weighted general average. Subsequent descriptive statistics and bivariate correlation analysis revealed moderate (...)
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  33. General representation of epistemically optimal procedures.Franz Dietrich - 2006 - Social Choice and Welfare 2 (26):263-283.
    Assuming that votes are independent, the epistemically optimal procedure in a binary collective choice problem is known to be a weighted supermajority rule with weights given by personal log-likelihood-ratios. It is shown here that an analogous result holds in a much more general model. Firstly, the result follows from a more basic principle than expected-utility maximisation, namely from an axiom (Epistemic Monotonicity) which requires neither utilities nor prior probabilities of the ‘correctness’ of alternatives. Secondly, a person’s input need not (...)
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  34. (1 other version)The Problem of Rational Knowledge.Mark Jago - 2013 - Erkenntnis (S6):1-18.
    Real-world agents do not know all consequences of what they know. But we are reluctant to say that a rational agent can fail to know some trivial consequence of what she knows. Since every consequence of what she knows can be reached via chains of trivial cot be dismissed easily, as some have attempted to do. Rather, a solution must give adequate weight to the normative requirements on rational agents’ epistemic states, without treating those agents as mathematically ideal reasoners. I’ll (...)
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  35. Defining agency: Individuality, normativity, asymmetry, and spatio-temporality in action.Xabier Barandiaran, E. Di Paolo & M. Rohde - 2009 - Adaptive Behavior 17 (5):367-386.
    The concept of agency is of crucial importance in cognitive science and artificial intelligence, and it is often used as an intuitive and rather uncontroversial term, in contrast to more abstract and theoretically heavy-weighted terms like “intentionality”, “rationality” or “mind”. However, most of the available definitions of agency are either too loose or unspecific to allow for a progressive scientific program. They implicitly and unproblematically assume the features that characterize agents, thus obscuring the full potential and challenge of modeling agency. (...)
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  36. Structural equations and beyond.Franz Huber - 2013 - Review of Symbolic Logic 6 (4):709-732.
    Recent accounts of actual causation are stated in terms of extended causal models. These extended causal models contain two elements representing two seemingly distinct modalities. The first element are structural equations which represent the or mechanisms of the model, just as ordinary causal models do. The second element are ranking functions which represent normality or typicality. The aim of this paper is to show that these two modalities can be unified. I do so by formulating two constraints under which (...)
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  37. Predictive Modeling of Obesity and Cardiovascular Disease Risk: A Random Forest Approach.Mohammed S. Abu Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 7 (12):26-38.
    Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all (...)
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  38. Scientific Progress and Democratic Society through the Lens of Scientific Pluralism.Theptawee Chokvasin - 2023 - Suranaree Journal of Social Science 17 (2):Article ID e268392 (pp. 1-15).
    Background and Objectives: In this research article, the researcher addresses the issue of creating public understanding in a democratic society about the progress of science, with an emphasis on pluralism from philosophers of science. The idea that there is only one truth and that there are just natural laws awaiting discovery by scientists has historically made it difficult to explain scientific progress. This belief motivates science to develop theories that explain the unity of science, and it is thought that diversity (...)
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  39. Weighing Reasons Against.Chris Tucker - forthcoming - Oxford Studies in Metaethics.
    Ethicists increasingly reject the scale as a useful metaphor for weighing reasons. Yet they generally retain the metaphor of a reason’s weight. This combination is incoherent. The metaphor of weight entails a very specific scale-based model of weighing reasons, Dual Scale. Justin Snedegar worries that scale-based models of weighing reasons can’t properly weigh reasons against an option. I show that there are, in fact, two different reasons for/against distinctions, and I provide an account of the relationship between the various (...)
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  40. Legal Directives and Practical Reasons.Noam Gur - 2018 - Oxford: Oxford University Press.
    This book investigates law's interaction with practical reasons. What difference can legal requirements—e.g. traffic rules, tax laws, or work safety regulations—make to normative reasons relevant to our action? Do they give reasons for action that should be weighed among all other reasons? Or can they, instead, exclude and take the place of some other reasons? The book critically examines some of the existing answers and puts forward an alternative understanding of law's interaction with practical reasons. -/- At the outset, two (...)
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  41. Aspects of compatibility and the construction of preference.Marcus Selart - 1997 - In Rob Ranyard, Ray Crozier & Ola Svenson (eds.), Decision making: Cognitive models and explanations. Routledge. pp. 58-72.
    This chapter focuses on the psychological mechanisms behind the construction of preference, especially the actual processes used by humans when they make decisions in their everyday lives or in business situations. The chapter uses cognitive psychological techniques to break down these processes and set them in their social context. When attributes are compatible with the response scale, they are assigned greater weight because they are most easily mapped onto the response. For instance, when subjects are asked to set a price (...)
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  42. Is behavioural flexibility evidence of cognitive complexity? How evolution can inform comparative cognition.Irina Mikhalevich, Russell Powell & Corina Logan - 2017 - Interface Focus 7.
    Behavioural flexibility is often treated as the gold standard of evidence for more sophisticated or complex forms of animal cognition, such as planning, metacognition and mindreading. However, the evidential link between behavioural flexibility and complex cognition has not been explicitly or systematically defended. Such a defence is particularly pressing because observed flexible behaviours can frequently be explained by putatively simpler cognitive mechanisms. This leaves complex cognition hypotheses open to ‘deflationary’ challenges that are accorded greater evidential weight precisely because they offer (...)
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  43. Understanding standing: permission to deflect reasons.Ori J. Herstein - 2017 - Philosophical Studies 174 (12):3109-3132.
    Standing is a peculiar norm, allowing for deflecting that is rejecting offhand and without deliberation interventions such as directives. Directives are speech acts that aim to give directive-reasons, which are reason to do as the directive directs because of the directive. Standing norms, therefore, provide for deflecting directives regardless of validity or the normative weight of the rejected directive. The logic of the normativity of standing is, therefore, not the logic of invalidating directives or of competing with directive-reasons but of (...)
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  44. On the roles of false belief and recalcitrant fear in anorexia nervosa.Somogy Varga & Asbjørn Steglich-Petersen - 2023 - Mind and Language (5):1296-1313.
    The DSM‐5 highlights two essential psychological features of anorexia nervosa (AN): recalcitrant fear of gaining weight and body image disturbance. Prominent accounts grant false beliefs about body weight and shape a central role in the explanation of AN behavior. In this article, we propose a stronger emphasis on recalcitrant fear. We show that such fear can explain AN behavior without the intermediary of a false belief, and thus without the associated explanatory burdens and conceptual difficulties. We illustrate how shifting the (...)
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  45. Artificial Neural Network for Forecasting Car Mileage per Gallon in the City.Mohsen Afana, Jomana Ahmed, Bayan Harb, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 124:51-59.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict (...)
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  46. Perception Is Not Always and Everywhere Inferential.Inês Hipólito - 2018 - Australasian Philosophical Review 2 (2):184-188.
    This paper argues that it is possible to embrace the predictive processing framework (PP) without reducing affordances to inferential perception. The cognitivist account of PP contends that it can capture relational perception, such as affordances. The rationale for this claim is that over time, sensory data becomes highly-weighted. This paper, however, will show the inconsistency of this claim in the face of the cognitivist premise that ‘encapsulated’ models can throw away ‘the body, the world, or other people’ [Hohwy 2016: 265]. (...)
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  47.  29
    Exploiting the In-Distribution Embedding Space with Deep Learning and Bayesian inference for Detection and Classification of an Out-of-Distribution Malware (Extended Abstract).Tosin ige, Christopher Kiekintveld & Aritran Piplai - forthcoming - Aaai Conferenece Proceeding.
    Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network with (...)
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  48. How Do Reasons Accrue?Shyam Nair - 2016 - In Errol Lord & Barry Maguire (eds.), Weighing Reasons. New York, NY: Oxford University Press USA. pp. 56–73.
    Reasons can interact in a variety of ways to determine what we ought to do or believe. And there can be cases where two reasons to do an act or have a belief are individually worse than a reason to not do that act or have that belief, but the reasons together are better than the reason to not do that act or have that belief. So the reasons together―which we can call the accrual of those reasons—can have a strength (...)
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  49. The Kochen - Specker theorem in quantum mechanics: a philosophical comment (part 1).Vasil Penchev - 2013 - Philosophical Alternatives 22 (1):67-77.
    Non-commuting quantities and hidden parameters – Wave-corpuscular dualism and hidden parameters – Local or nonlocal hidden parameters – Phase space in quantum mechanics – Weyl, Wigner, and Moyal – Von Neumann’s theorem about the absence of hidden parameters in quantum mechanics and Hermann – Bell’s objection – Quantum-mechanical and mathematical incommeasurability – Kochen – Specker’s idea about their equivalence – The notion of partial algebra – Embeddability of a qubit into a bit – Quantum computer is not Turing machine – (...)
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  50. A dilemma for reasons additivity.Geoff Keeling - 2023 - Economics and Philosophy 39 (1):20-42.
    This paper presents a dilemma for the additive model of reasons. Either the model accommodates disjunctive cases in which one ought to perform some act $$\phi $$ just in case at least one of two factors obtains, or it accommodates conjunctive cases in which one ought to $$\phi $$ just in case both of two factors obtains. The dilemma also arises in a revised additive model that accommodates imprecisely weighted reasons. There exist disjunctive and conjunctive cases. Hence (...)
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