Results for 'Vít Punčochář'

16 found
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  1.  87
    Learnability of state spaces of physical systems is undecidable.Petr Spelda & Vit Stritecky - 2024 - Journal of Computational Science 83 (December 2024):1-7.
    Despite an increasing role of machine learning in science, there is a lack of results on limits of empirical exploration aided by machine learning. In this paper, we construct one such limit by proving undecidability of learnability of state spaces of physical systems. We characterize state spaces as binary hypothesis classes of the computable Probably Approximately Correct learning framework. This leads to identifying the first limit for learnability of state spaces in the agnostic setting. Further, using the fact that finiteness (...)
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  2. Expanding Observability via Human-Machine Cooperation.Petr Spelda & Vit Stritecky - 2022 - Axiomathes 32 (3):819-832.
    We ask how to use machine learning to expand observability, which presently depends on human learning that informs conceivability. The issue is engaged by considering the question of correspondence between conceived observability counterfactuals and observable, yet so far unobserved or unconceived, states of affairs. A possible answer lies in importing out of reference frame content which could provide means for conceiving further observability counterfactuals. They allow us to define high-fidelity observability, increasing the level of correspondence in question. To achieve high-fidelity (...)
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  3. Khoảng dao động 25-1000 USD và điểm yếu lập luận về chi phí phục hồi vùng sinh thái đước-cỏ biển.Vịt Cỏ - 2023 - Bio2 Ebl.
    Mặc dù 3 điểm nêu trên chưa phải đã đủ, nhưng chắc chắn không thể giải đáp. Vì vậy, khó mà tin vài lập luận đơn giản về “tính khả thi” lại có thể mang ra áp dụng cho cộng đồng trên không gian sinh thái rộng lớn.
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  4. Why and how to construct an epistemic justification of machine learning?Petr Spelda & Vit Stritecky - 2024 - Synthese 204 (2):1-24.
    Consider a set of shuffled observations drawn from a fixed probability distribution over some instance domain. What enables learning of inductive generalizations which proceed from such a set of observations? The scenario is worthwhile because it epistemically characterizes most of machine learning. This kind of learning from observations is also inverse and ill-posed. What reduces the non-uniqueness of its result and, thus, its problematic epistemic justification, which stems from a one-to-many relation between the observations and many learnable generalizations? The paper (...)
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  5. Elimination of Bias in Introspection: Methodological Advances, Refinements, and Recommendations.Radek Trnka & Vit Smelik - 2020 - New Ideas in Psychology 56.
    Building on past constructive criticism, the present study provides further methodological development focused on the elimination of bias that may occur during first-person observation. First, various sources of errors that may accompany introspection are distinguished based on previous critical literature. Four main errors are classified, namely attentional, attributional, conceptual, and expressional error. Furthermore, methodological recommendations for the possible elimination of these errors have been determined based on the analysis and focused excerpting of introspective scientific literature. The following groups of methodological (...)
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  6. Human Induction in Machine Learning: A Survey of the Nexus.Petr Spelda & Vit Stritecky - 2021 - ACM Computing Surveys 54 (3):1-18.
    As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests on a single experimental paradigm, which consists of splitting the available data into a training and testing set and using the latter to measure how well the trained ML model generalises to unseen samples. If the model reaches acceptable accuracy, an a posteriori contract comes into effect between humans and the model, supposedly allowing its deployment to target environments. Yet (...)
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  7. No-Regret Learning Supports Voters’ Competence.Petr Spelda, Vit Stritecky & John Symons - 2024 - Social Epistemology 38 (5):543-559.
    Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to determine (...)
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  8. What Can Artificial Intelligence Do for Scientific Realism?Petr Spelda & Vit Stritecky - 2020 - Axiomathes 31 (1):85-104.
    The paper proposes a synthesis between human scientists and artificial representation learning models as a way of augmenting epistemic warrants of realist theories against various anti-realist attempts. Towards this end, the paper fleshes out unconceived alternatives not as a critique of scientific realism but rather a reinforcement, as it rejects the retrospective interpretations of scientific progress, which brought about the problem of alternatives in the first place. By utilising adversarial machine learning, the synthesis explores possibility spaces of available evidence for (...)
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  9. The Future of Human-Artificial Intelligence Nexus and its Environmental Costs.Petr Spelda & Vit Stritecky - 2020 - Futures 117.
    The environmental costs and energy constraints have become emerging issues for the future development of Machine Learning (ML) and Artificial Intelligence (AI). So far, the discussion on environmental impacts of ML/AI lacks a perspective reaching beyond quantitative measurements of the energy-related research costs. Building on the foundations laid down by Schwartz et al., 2019 in the GreenAI initiative, our argument considers two interlinked phenomena, the gratuitous generalisation capability and the future where ML/AI performs the majority of quantifiable inductive inferences. The (...)
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  10. Czech Version of the Spiritual Well-Being Scale: Evaluation and Psychometric Properties.Peter Tavel, Jan Sandora, Jana Furstova, Alek Lačev, Vit Husek, Zuzana Puzova, Iva Polackova Solcova & Klara Malinakova - 2020 - Psychological Reports 1.
    Spirituality and spiritual well-being are connected with many areas of human life. Thus, especially in secular countries, there is a need for reliable validated instruments for measuring spirituality. The Spiritual Well-Being Scale is among the world’s most often used tools; therefore, the aim of this study was its psychometrical evaluation in the secular environment of the Czech Republic on a nationally representative sample (n = 1797, mean age: 45.9 ± 17.67; 48.6% men). A non-parametric comparison of different sociodemographic groups showed (...)
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  11. On Vít Gvoždiak's “John Searle's Theory of Sign”.Phila Msimang - 2015 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 22 (2):255-261.
    Vít Gvoždiak published a reconciliatory analysis of Searle’s social ontology with semiotics in Gvoždiak (2012). Without prior knowledge of his paper, an analysis of the same subject appeared in Msimang (2014). Even though Searle’s social ontology is a common point of reference in the formulation of semiotics in these papers, it also serves as a point of departure in their understanding of semiotics and its development. The semiotic theory expressed in Gvoždiak (2012) is an inherently linguistic (speech act centred) theory, (...)
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  12. Plaisir (Entrée académique).Antonin Broi - 2020 - L'Encyclopédie Philosophique.
    Quand nous lisons un livre passionnant, quand nous passons une bonne soirée avec des amis ou quand nous dégustons des mets raffinés, nous nous trouvons parfois dans un état de plaisir. La notion de plaisir traverse de nombreux champs de recherche en philosophie. Une question centrale reste sans doute celle de sa nature : qu’est-ce donc que le plaisir ? Pour y répondre, une comparaison avec d'autres entités mentales plus familières se révèle fructueuse, et permet de mettre à jour ses (...)
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  13. L’impartialité engagée : objectivité scientifique et engagement moral.Donato Bergandi - 2013 - In Christian Byk (ed.), Les scientifiques doivent-ils être responsables ? Fondements, enjeux et évolution normative. Les Études Hospitalières. pp. 137-154.
    L’humanité est devenue facteur d’évolution au niveau planétaire. En complexifiant toujours plus les modalités de ses relations avec l’environnement, elle pense trouver dans la science l’outil principal de son développement et en définitive de sa survie. La science, en effet, est un système d’acquisition de connaissances qui génère une interprétation systématique et rationnelle du monde naturel ethumain, jamais définitive et en renouvellement continu. En tant qu’explication rationnelle des phénomènes naturels et sociaux, elle nous permet de raffiner sans cesse la compréhension (...)
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  14. La catastrophe écologique, les gilets jaunes et le sabotage de la démocratie.Donato Bergandi, Fabienne Galangau-Querat & Hervé Lelièvre - manuscript
    Caste : Groupe qui se distingue par ses privilèges et son esprit d’exclusive à l’égard de toute personne qui n’appartient pas au groupe. Larousse -/- La hausse des prix des carburants proposée pour lutter contre le changement climatique et mettre en œuvre les principes de la « transition écologique » adoptés par la France lors de la COP21, a fait naître le mouvement des gilets jaunes. Plus globalement c’est une bonne partie des français qui se trouve concernée, celle qui vit (...)
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  15.  23
    AVALIAÇÃO DA SUPLEMENTAÇÃO MINERAL E VITAMÍNICA INJETÁVEL NA QUALIDADE SEMINAL E CONCENTRAÇÃO DE TESTOSTERONA EM OVINOS.E. R. Souza - 2023 - Dissertation, Universidade Estadual Paulista “Júlio de Mesquita Filho”
    A pecuária brasileira tem destaque acentuado quanto a sua participação no produto interno Bruto nacional (PIB), entretanto, dentro da cadeia produtiva das proteínas de origem animal, a ovinocultura ainda se apresenta como uma atividade com pouca expressividade e tecnificação frente a outras espécies animais domésticas, desta forma seu fomento e próspero desenvolvimento é dependente de inúmeros fatores, sendo que destes o correto manejo reprodutivo de espécies , a escolha de raças autóctones ou do exterior com boa adaptabilidade para serem criadas (...)
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  16. Judith Butler et l’ontologie de la précarité. Reconsidérer « le vivre ensemble ».N'Dré Sam Beugré - 2023 - Ireph 2.
    La précarité fait référence à l'existence de la rareté. Judith Butler montre l'impossibilité d'être un à travers le concept hégélien du sujet heureux. Le sujet ainsi défini est projeté sur l'Autre – langage, normes sociales, regard extérieur –, ce qui conduit à un état de vulnérabilité : je dépends de ce que je ne serai pas. Cependant, l'impuissance, loin d'être parfaite, peut se transformer en puissance sans s'affranchir des frontières qui la définissent, si elle défie les illusions modernes de la (...)
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