- (2 other versions)The Structure and Dynamics of Scientific Theories: A Hierarchical Bayesian Perspective.Leah Henderson, Noah D. Goodman, Joshua B. Tenenbaum & James F. Woodward - 2010 - Philosophy of Science 77 (2):172-200.details
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Introduction: Machine learning as philosophy of science.Kevin B. Korb - 2004 - Minds and Machines 14 (4):433-440.details
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Artificial Intelligence: A Modern Approach.Stuart Jonathan Russell & Peter Norvig (eds.) - 1995 - Prentice-Hall.details
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Can there be a Bayesian explanationism? On the prospects of a productive partnership.Frank Cabrera - 2017 - Synthese 194 (4):1245–1272.details
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Pattern Recognition and Machine Learning.Christopher M. Bishop - 2006 - Springer: New York.details
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The Nature of Statistical Learning Theory.Vladimir Vapnik - 2000 - Springer: New York.details
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Ockham’s Razors: A User’s Manual.Elliott Sober - 2015 - Cambridge: Cambridge University Press.details
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(2 other versions)1. Not a Sure Thing: Fitness, Probability, and Causation Not a Sure Thing: Fitness, Probability, and Causation (pp. 147-171). [REVIEW]Denis M. Walsh, Leah Henderson, Noah D. Goodman, Joshua B. Tenenbaum, James F. Woodward, Hannes Leitgeb, Richard Pettigrew, Brad Weslake & John Kulvicki - 2010 - Philosophy of Science 77 (2):172-200.details
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Simplicity and model selection.Guillaume Rochefort-Maranda - 2016 - European Journal for Philosophy of Science 6 (2):261-279.details
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(2 other versions)The structure and dynamics of scientific theories: a hierarchical Bayesian perspective.Leah Henderson, Noah D. Goodman, Joshua B. Tenenbaum & James F. Woodward - 2010 - Philosophy of Science 77 (2):172-200.details
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Bayesian Perspectives on the Discovery of the Higgs Particle.Richard Dawid - 2017 - Synthese 194 (2):377-394.details
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Simplicity, Truth, and Probability.Kevin T. Kelly - unknowndetails
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Ockham's razor, empirical complexity, and truth-finding efficiency.Kevin Kelly - 2007 - Theoretical Computer Science 383:270-289.details
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