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Joshua Tenenbaum
Results: 44

#	Item
31	Action Understanding as Inverse Planning Appendix Chris L. Baker, Rebecca Saxe & Joshua B. Tenenbaum Add to Reading List Source URL: web.mit.edu Language: English - Date: 2009-10-11 13:37:54 Inflation Monetary policy Money supply Economics Macroeconomics Money
32	Intuitive Theories as Grammars for Causal Inference Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Add to Reading List Source URL: web.mit.edu Language: English - Date: 2005-09-11 22:58:41 Knowledge Concepts Scientific method Statistical models Causality Conditionals Bayesian network Causal model Epistemology Science Philosophy of science Ethology
33	The Infinite Latent Events Model David Wingate, Noah D. Goodman, Daniel M. Roy and Joshua B. Tenenbaum Add to Reading List Source URL: web.mit.edu Language: English - Date: 2009-10-08 10:07:48 Estimation theory Markov models Robot control Hidden Markov model Expectation–maximization algorithm Dirichlet process Causality Particle filter Bayesian network Statistics Bayesian statistics Statistical models
34	Nonsense and Sensibility: Inferring Unseen Possibilities Lauren A. Schmidt, Charles Kemp & Joshua B. Tenenbaum Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology Add to Reading List Source URL: web.mit.edu Language: English - Date: 2006-05-16 21:33:21 Predicate logic Programming paradigms Matrix Predicate Cluster analysis Logic programming Hierarchical clustering Statistics Logic Mathematical logic
35	Bayesian models of cognition Thomas L. Griffiths, Charles Kemp and Joshua B. Tenenbaum Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2008-12-18 19:25:08 Bayesian inference Maximum likelihood Statistical inference Hierarchical Bayes model Conjugate prior Prior probability Probability Likelihood function N-gram Statistics Bayesian statistics Bayesian probability
36	Cause and Intent: Social Reasoning in Causal Learning Noah D. Goodman, Chris L. Baker, Joshua B. Tenenbaum {ndg, clbaker, jbt}@mit.edu Add to Reading List Source URL: web.mit.edu Language: English - Date: 2009-07-16 15:08:42 Bayesian statistics Statistical models Conditionals Philosophy of science Causality Bayesian network Causal model Folk psychology Inference Statistics Science Logic
37	Learning cross-cutting systems of categories Patrick Shafto, Charles Kemp, Vikash Mansinghka, Matthew Gordon, & Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Abstra Add to Reading List Source URL: web.mit.edu Language: English - Date: 2006-05-16 20:56:41 Artificial intelligence Cognitive science Prototype theory Categorization Category of being Category Science Semantics Philosophy Knowledge representation
38	How to Grow a Mind: Statistics, Structure, and Abstraction Joshua B. Tenenbaum, et al. Science 331, [removed]); DOI: [removed]science[removed]This copy is for your personal, non-commercial use only. Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-03-10 22:26:46 Ethology Philosophy of science Statistical models Machine learning Statistical theory Concept learning Bayesian inference Bayesian probability Causality Statistics Science Bayesian statistics
39	Learning Systems of Concepts with an Infinite Relational Model Charles Kemp and Joshua B. Tenenbaum Thomas L. Griffiths Department of Brain and Cognitive Science Add to Reading List Source URL: web.mit.edu Language: English - Date: 2006-04-25 16:05:14 Relational model Tone cluster Cluster chemistry Consensus clustering Music Statistics Cluster analysis
40	JOSHUA BRETT TENENBAUM Curriculum Vitae Brain and Cognitive Sciences Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-01-20 17:44:26 Artificial intelligence Neuropsychology Cognitive neuroscience Cognitive science Mathematical psychology Conference on Neural Information Processing Systems Concept learning Tannenbaum Bayesian cognitive science Machine learning Science Neuroscience

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