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Falsifiable implies Learnable.David Balduzzi - manuscriptdetails
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Language Evolution by Iterated Learning With Bayesian Agents.Thomas L. Griffiths & Michael L. Kalish - 2007 - Cognitive Science 31 (3):441-480.details
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Brain to computer communication: Ethical perspectives on interaction models. [REVIEW]Guglielmo Tamburrini - 2009 - Neuroethics 2 (3):137-149.details
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Bayesianism and language change.Jon Williamson - 2003 - Journal of Logic, Language and Information 12 (1):53-97.details
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Epistemic injustice and data science technologies.John Symons & Ramón Alvarado - 2022 - Synthese 200 (2):1-26.details
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FBST Regularization and Model Selection.Julio Michael Stern & Carlos Alberto de Braganca Pereira - 2001 - In Julio Michael Stern & Carlos Alberto de Braganca Pereira (eds.), Annals of the 7th International Conference on Information Systems Analysis and Synthesis. Orlando FL: pp. 7: 60-65..details
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Complexes, rule-following, and language games: Wittgenstein’s philosophical method and its relevance to semiotics.Sergio Torres-Martínez - 2021 - Semiotica 2021 (242):63-100.details
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Machine Decisions and Human Consequences.Teresa Scantamburlo, Andrew Charlesworth & Nello Cristianini - 2019 - In Karen Yeung & Martin Lodge (eds.), Algorithmic Regulation. Oxford University Press.details
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Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic Systems. [REVIEW]A. A. Salama, Mohamed Eisa, S. A. El-Hafeez & M. M. Lotfy - 2015 - Neutrosophic Sets and Systems 8:32-41.details
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GDP growth vs. criminal phenomena: data mining of Japan 1926–2013.Xingan Li, Henry Joutsijoki, Jorma Laurikkala & Martti Juhola - 2018 - AI and Society 33 (2):261-274.details
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Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information.Yunyun Liang & Shengli Zhang - 2018 - Acta Biotheoretica 66 (1):61-78.details
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Big Data Optimization in Machine Learning.Xiaocheng Tang - 2015 - Disertation 1.details
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Philosophy as conceptual engineering: Inductive logic in Rudolf Carnap's scientific philosophy.Christopher F. French - 2015 - Dissertation, University of British Columbiadetails
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The development of a schema for semantic annotation: gain brought by a formal ontological method.Ai Kawazoe, Lihua Jin, Mika Shigematsu, Daisuke Bekki, Roberto Barrero, Kiyosu Taniguchi & Nigel Collier - 2009 - Applied ontology 4 (1):5-20.details
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Testability and Ockham’s Razor: How Formal and Statistical Learning Theory Converge in the New Riddle of Induction. [REVIEW]Daniel Steel - 2009 - Journal of Philosophical Logic 38 (5):471 - 489.details
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On the computational complexity of ethics: moral tractability for minds and machines.Jakob Stenseke - 2024 - Artificial Intelligence Review 57 (105):90.details
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The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2020 - Synthese 198 (10):1–32.details
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Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications.David B. Stone, Gabriella Tamburro, Patrique Fiedler, Jens Haueisen & Silvia Comani - 2018 - Frontiers in Human Neuroscience 12.details
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Learning robots interacting with humans: from epistemic risk to responsibility. [REVIEW]Matteo Santoro, Dante Marino & Guglielmo Tamburrini - 2008 - AI and Society 22 (3):301-314.details
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The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.Timo Freiesleben - 2021 - Minds and Machines 32 (1):77-109.details
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Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?F. J. Boge, P. Grünke & R. Hillerbrand - 2022 - Minds and Machines 32 (1):1-9.details
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Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory.Falco J. Bargagli Stoffi, Gustavo Cevolani & Giorgio Gnecco - 2022 - Minds and Machines 32 (1):13-42.details
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MRI Texture-Based Recognition of Dystrophy Phase in Golden Retriever Muscular Dystrophy Dogs. Elimination of Features that Evolve along with the Individual’s Growth.Dorota Duda - 2018 - Studies in Logic, Grammar and Rhetoric 56 (1):121-142.details
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Analysis of Human Brain Structure Reveals that the Brain “Types” Typical of Males Are Also Typical of Females, and Vice Versa.Daphna Joel, Ariel Persico, Moshe Salhov, Zohar Berman, Sabine Oligschläger, Isaac Meilijson & Amir Averbuch - 2018 - Frontiers in Human Neuroscience 12.details
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Effective connectivity among the working memory regions during preparation for and during performance of the n-back task.Anna Manelis & Lynne M. Reder - 2014 - Frontiers in Human Neuroscience 8.details
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Discriminative analysis of non-linear brain connectivity in schizophrenia: an fMRI Study.Longfei Su, Lubin Wang, Hui Shen, Guiyu Feng & Dewen Hu - 2013 - Frontiers in Human Neuroscience 7.details
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Dilation, Disintegrations, and Delayed Decisions.Arthur Paul Pedersen & Gregory Wheeler - 2015 - In Thomas Augistin, Serena Dora, Enrique Miranda & Erik Quaeghebeur (eds.), Proceedings of the 9th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2015). Aracne Editrice. pp. 227–236.details
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Risk context effects in inductive reasoning: an experimental and computational modeling study.Kayo Sakamoto & Masanori Nakagawa - 2001 - In P. Bouquet V. Akman (ed.), Modeling and Using Context. Springer. pp. 425--438.details
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A trend on regularization and model selection in statistical learning: a Bayesian Ying Yang learning perspective.Lei Xu - 2007 - In Wlodzislaw Duch & Jacek Mandziuk (eds.), Challenges for Computational Intelligence. Springer. pp. 365--406.details
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A Novel User Emotional Interaction Design Model Using Long and Short-Term Memory Networks and Deep Learning.Xiang Chen, Rubing Huang, Xin Li, Lei Xiao, Ming Zhou & Linghao Zhang - 2021 - Frontiers in Psychology 12.details
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Identification of Biomarker on Biological and Gene Expression data using Fuzzy Preference Based Rough Set.Ujjwal Maulik, Debasis Chakraborty, Ram Sarkar & Shemim Begum - 2020 - Journal of Intelligent Systems 30 (1):130-141.details
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In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions.Andrea Ferrario, Michele Loi & Eleonora Viganò - 2020 - Philosophy and Technology 33 (3):523-539.details
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Applications of Rhetorical Structure Theory.William C. Mann & Maite Taboada - 2006 - Discourse Studies 8 (4):567-588.details
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Self-supervision, normativity and the free energy principle.Jakob Hohwy - 2020 - Synthese 199 (1-2):29-53.details
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Machine learning classification of resting state functional connectivity predicts smoking status.Vani Pariyadath, Elliot A. Stein & Thomas J. Ross - 2014 - Frontiers in Human Neuroscience 8.details
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Composition in Distributional Models of Semantics.Jeff Mitchell & Mirella Lapata - 2010 - Cognitive Science 34 (8):1388-1429.details
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Machine learning, inductive reasoning, and reliability of generalisations.Petr Spelda - 2020 - AI and Society 35 (1):29-37.details
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Testability and Ockham’s Razor: How Formal and Statistical Learning Theory Converge in the New Riddle of Induction.Daniel Steel - 2009 - Journal of Philosophical Logic 38 (5):471-489.details
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MDLChunker: A MDL-Based Cognitive Model of Inductive Learning.Vivien Robinet, Benoît Lemaire & Mirta B. Gordon - 2011 - Cognitive Science 35 (7):1352-1389.details
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Brain activity classifies adolescents with and without a familial history of substance use disorders.Jianping Qiao, Zhishun Wang, Lupo Geronazzo-Alman, Lawrence Amsel, Cristiane Duarte, Seonjoo Lee, George Musa, Jun Long, Xiaofu He, Thao Doan, Joy Hirsch & Christina W. Hoven - 2015 - Frontiers in Human Neuroscience 9.details
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Identification of neural connectivity signatures of autism using machine learning.Gopikrishna Deshpande, Lauren E. Libero, Karthik R. Sreenivasan, Hrishikesh D. Deshpande & Rajesh K. Kana - 2013 - Frontiers in Human Neuroscience 7.details
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Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions.David Corfield, Bernhard Schölkopf & Vladimir Vapnik - 2009 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 40 (1):51-58.details
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Reduced Global-Brain Functional Connectivity of the Cerebello-Thalamo-Cortical Network in Patients With Dry Eye Disease.Pan Pan, Shubao Wei, Yangpan Ou, Feng Liu, Huabing Li, Wenyan Jiang, Wenmei Li, Yiwu Lei, Wenbin Guo & Shuguang Luo - 2020 - Frontiers in Human Neuroscience 14.details
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The Big Data razor.Ezequiel López-Rubio - 2020 - European Journal for Philosophy of Science 10 (2):1-20.details
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Brain Connectivity Based Prediction of Alzheimer’s Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images.Weihao Zheng, Zhijun Yao, Yongchao Li, Yi Zhang, Bin Hu & Dan Wu - 2019 - Frontiers in Human Neuroscience 13.details
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生徒の検索情報を利用した講義の重要語抽出.入部 百合絵 篠原 修二 - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22 (6):604-611.details
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