Language Evolution by Iterated Learning With Bayesian Agents (2007)

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by Thomas L. Griffiths , Michael L. Kalish
Citations:27 - 7 self

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4 Technical Introduction: A Primer on Probabilistic Inference – Thomas L. Griffiths, Alan Yuille - 2006
565 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
22 Bayesian models of cognition – Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum
490 The Infinite Hidden Markov Model – Matthew J. Beal, Zoubin Ghahramani, Carl E. Rasmussen - 2002
Just Enough Die-Level Test: Optimizing IC Test via Machine Learning and Decision Theory – Tony Fountain - 1998
1 Hidden Dynamic Models for Speech Processing Applications – Leo Jingyu Lee
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
Irregular-Structure Tree Models for Image Interpretation – Sinisa Todorovic - 2005
24 Rational approximations to rational models: Alternative algorithms for category learning – Adam N. Sanborn, Thomas L. Griffiths, Daniel J. Navarro, Adam Sanborn
Implementation of Gaussian Process models for . . . – Keith Russell Thompson - 2009
11 Machine Learning Based on Attribute Interactions – Aleks Jakulin - 2005
226 An Introduction to MCMC for Machine Learning – Christophe Andrieu - 2003
9 Exploiting parameter domain knowledge for learning in Bayesian networks – Radu Stefan Niculescu - 2005
127 Learning dynamic Bayesian networks – Zoubin Ghahramani - 1998
46 Latent Variable Models for Neural Data Analysis – Maneesh Sahani - 1999
Bayesian Modelling in Machine Learning: A Tutorial Review – Matthias Seeger - 2009
857 A tutorial on learning with Bayesian networks – David Heckerman - 1995
35 Nonparametric Bayesian Models of Lexical Acquisition – Sharon J. Goldwater - 2007
Continuous-state Graphical Models for . . . – Leonid Sigal - 2008