Semi-rational Models of Conditioning: The Case of Trial Order (2007)

by Nathaniel D. Daw , Aaron C. Courville , Peter Dayan
Citations:4 - 2 self

Active Bibliography

4 Stochastic Variational Inference – Matt Hoffman, David M. Blei, Chong Wang, John Paisley - 2013
37 Attention in learning – John K. Kruschke - 2003
3 The Variational Bayesian EM Algorithm for Incomplete Data: with Application to . . . – J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, Matthew J. Beal, Zoubin Ghahramani - 2003
15 Linear Gaussian models for speech recognition – Antti-Veikko Ilmari Rosti - 2004
Statement of Originality – Christopher Ian Bracegirdle, Chris Bracegirdle
1 Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting – John K. Kruschke
26 Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting – John K. Kruschke - 2006
35 Classification and Regression using Mixtures of Experts – Steven Richard Waterhouse - 1997
31 Variational bayesian learning of directed graphical models with hidden variables, Bayesian Analysis 1 – Matthew J. Beal, Zoubin Ghahramani - 2006
8 An Introduction to Variational Methods for Graphical Methods – Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul - 1998
37 Graphical Models and Variational Methods – Zoubin Ghahramani, Matthew J. Beal - 2001
Electromagnetic Radiation and the Human Body: – Edited Alexander Poularikas, Stergios Stergiopoulos, K. R. Rao, P. C. Yip, David Hall, James Llinas, Yu Hen Hu, Jenq-neng Hwang, Lal Chand Godara, Robert Crane, Guarav Sharma, Gillian Davis, Vyacheslav Tuzlukov, Nikolaos Uzunoglu, Konstantina S. Nikita, Samuel Stearns, Smart Antennas, Lal Chand Godara, Wu Chou, Bing Huang Juang H
1 ConneCtions Between Computational and neuroBiologiCal perspeCtives on decision making -- decision theory, . . . – Peter Dayan, et al. - 2008
Some Methods for Training Mixtures of Experts – Perry Moerland - 1997
1 Divide and Conquer: Pattern Recognition using Mixtures of Experts – Steve Waterhouse, Steve Waterhouse - 1997
16 Accelerating cyclic update algorithms for parameter estimation by pattern searches – Antti Honkela, Harri Valpola, Juha Karhunen
23 Ensemble learning in Bayesian neural networks – David Barber, Christopher M. Bishop - 1998
1 Bethe Free Energy and Contrastive Divergence Approximations for Undirected Graphical Models – Yee Whye Teh, Yee Whye Teh - 2003
18 Unsupervised learning – Zoubin Ghahramani - 2004