Items where Subject is "General Issues > Formal Learning Theory"
Group by: Creators | Item Type Number of items at this level: 47. PreprintAaronson, Scott (2011) Why Philosophers Should Care About Computational Complexity. [Preprint] Barrett, Jeffrey A. (2015) On the Evolution of Truth. [Preprint] Barrett, Jeffrey A. and Dickson, Michael and Purves, Gordon (2013) Prediction Games. [Preprint] Barrett, Jeffrey A. and Skyrms, Brian and Cochran, Calvin (2018) Hierarchical Models for the Evolution of Compositional Language. [Preprint] Belot, Gordon (2013) Bayesian Orgulity. [Preprint] Belot, Gordon (2013) Failure of Calibration is Typical. [Preprint] Belot, Gordon (2015) Objectivity and Bias. [Preprint] Climenhaga, Nevin and DesAutels, Lane and Ramsey, Grant (2019) Causal Inference from Noise. [Preprint] Colombo, Matteo and Klein, Dominik (2017) Mystery and the evidential impact of unexplainables. [Preprint] Culka, M. (2018) A Probabilistic Modelling Approach for Rational Belief in Meta-Epistemic Contexts. [Preprint] Davis, Isaac (2019) A Framework for Pragmatic Reliability. [Preprint] De Pretis, Francesco and Landes, Juergen and Peden, William and Osimani, Barbara (2021) Pharmacovigilance as Personalized Medicine. In: Chiara Beneduce and Marta Bertolaso (eds.) Personalized Medicine: A Multidisciplinary Approach to Complexity, Springer Nature. [Preprint] Dowe, David and Gardner, Steve and Oppy, Graham (2006) "Bayes Not Bust! Why Simplicity is no problem for Bayesians". [Preprint] Ellerman, David (2013) An Introduction to Logical Entropy and its Relation to Shannon Entropy. [Preprint] Friederich, Simon (2016) Choosing Beauty. [Preprint] Gyenis, Balazs (2014) Bayes rules all: On the equivalence of various forms of learning in a probabilistic setting. [Preprint] Gyenis, Zalán (2018) On the modal logic of Jeffrey conditionalization. [Preprint] Gyenis, Zalán and Rédei, Miklós and Brown, William (2018) The modal logic of Bayesian belief revision. [Preprint] Hancox-Li, Leif (2020) Robustness in Machine Learning Explanations: Does It Matter? [Preprint] Huber, Franz (2017) On the Justification of Deduction and Induction. [Preprint] Rédei, Miklós and Gyenis, Zalán (2015) General properties of general Bayesian learning. [Preprint] Sant'Anna, Adonai and Bueno, Otavio and da Costa, Newton (2014) A Set-Theoretic Predicate for Semantics in Natural and Formal Languages. [Preprint] Skyrms, Brian and Barrett, Jeffrey A. (2018) PROPOSITIONAL CONTENT in SIGNALS. [Preprint] Sterrett, S. G. (2012) Bringing Up Turing's 'Child-Machine' (revised). [Preprint] Victor, Kuligin and Galina, Kuligina and Maria, Korneva (2001) The Scientific Philosophy and Philosophy of Science (Part 1). [Preprint] Victor, Kuligin and Galina, Kuligina and Maria, Korneva (2001) The Scientific Philosophy and Philosophy of Science (Part 3). [Preprint] Victor, Kuligin and Galina, Kuligina and Maria, Korneva (2001) The Scientific Philosophy and Philosophy of Science. [Preprint] Wheeler, Gregory (2016) Machine Epistemology and Big Data. [Preprint] Conference or Workshop ItemDawidowicz, Edward and Jackson, Vairzora and Bryant, Thomas E and Adams, Martin (2003) The Right Information… and Intelligent Nodes. In: UNSPECIFIED. Eberhardt, Frederick (2012) Experimental Indistinguishability of Causal Structures. In: UNSPECIFIED. Pietsch, Wolfgang (2016) A difference-making account of causation. In: UNSPECIFIED. Schurz, Gerhard (2016) No Free Lunch Theorem, Inductive Skepticism, and the Optimality of Meta-Induction. In: UNSPECIFIED. Zhao, Kino (2018) A statistical learning approach to a problem of induction. In: UNSPECIFIED. Zhao, Kino (2018) A statistical learning approach to a problem of induction. In: UNSPECIFIED. Published Article or VolumeBenétreau-Dupin, Yann (2014) The Bayesian Who Knew Too Much. Synthese. ISSN 1573-0964 Carroll, La Shun L. (2017) Theoretical Biomimetics: A biological design-driven concept for creative problem-solving as applied to the optimal sequencing of active learning techniques in educational theory. Multidisciplinary Journal for Education, Social and Technological Sciences, 4 (2). p. 80. ISSN 2341-2593 Climenhaga, Nevin (2019) The Structure of Epistemic Probabilities. Philosophical Studies. pp. 1-30. ISSN 0031-8116 Dietrich, Franz and List, Christian and Bradley, Richard (2016) Belief revision generalized: A joint characterization of Bayes' and Jeffrey's rules. Journal of Economic Theory, 162. pp. 352-371. Huber, Franz (2008) Assessing Theories, Bayes Style. Synthese, 161 (1). pp. 89-118. Huber, Franz (2007) The Plausibility-Informativeness Theory. New Waves in Epistemology. pp. 164-191. Huber, Franz (2014) What Should I Believe About What Would Have Been the Case? Journal of Philosophicl Logic. Rochefort-Maranda, Guillaume (2016) Simplicity and model selection. European Journal for Philosophy of Science. ISSN 1879-4912 Soler-Toscano, Fernando (2014) El giro dinámico en la epistemología formal: el caso del razonamiento explicativo. THEORIA. An International Journal for Theory, History and Foundations of Science, 29 (2). pp. 181-199. ISSN 2171-679X OtherBalduzzi, David (2011) Information, learning and falsification. Advances in Neural Information Processing Systems (NIPS). Kawalec, Pawel (2005) Understanding science of the new millennium. UNSPECIFIED. (Unpublished) Lin, Hanti A General Theory of (Identification in the) Limit and Convergence (to the Truth). UNSPECIFIED. Schupbach, Jonah N. (2008) Is the Conjunction Fallacy tied to Probabilistic Confirmation? UNSPECIFIED. |