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Bayesian statistics / Statistical inference / Philosophy of science / Reasoning / Inductive reasoning / Machine learning / Connectionism / Bayesian brain / Concept learning / Science / Statistics / Knowledge


Probabilistic models of cognition: exploring representations and inductive biases
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Document Date: 2011-01-11 14:53:44


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Solla S.A. / Adelaide SA / Neural Information Processing Systems / Cambridge University Press / Neural Networks / MIT Press / Russell / Oxford University Press / Elsevier Ltd. / In MIT Press / /

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United States / Australia / United Kingdom / /

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Carnegie Mellon University / University College London / Hughes Building / Prentice Hall / Massachusetts Institute of Technology / University of California / /

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parallel network / sentence processing / conventional machine learning algorithms / machine learning algorithms / universal law / human online sentence processing / gradual error-driven learning algorithms / gradient-descent based algorithm / approximation algorithms / connectionist algorithms / universal exponential law / information processing system / modeled using algorithms / gradient-descent learning algorithms / natural language processing / computing / connectionist networks / learning algorithms / /

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Cambridge University / Brain and Cognitive Sciences Department / University College London / Cognitive Science Society / University of California / Berkeley / Massachusetts Institute of Technology / Department of Psychology / Pittsburgh PA / School of Psychology / Carnegie Mellon University / Oxford University / USA Division of Psychology and Language Sciences / Association for Computational Linguistics / /

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Shepard / David Marr / /

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General / D.J. / Corresponding author / R.N. / /

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Computational Linguistics / /

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neuroscience / gradient-descent based algorithm / machine learning algorithms / connectionist algorithms / gradual error-driven learning algorithms / then modeled using algorithms / machine learning / conventional machine learning algorithms / natural language processing / neural network / artificial intelligence / gradient-descent learning algorithms / approximation algorithms / /

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