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» Bayesian processing of vestibular information
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NIPS
2008
14 years 11 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
NIPS
1996
14 years 10 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss
COGSCI
2007
99views more  COGSCI 2007»
14 years 9 months ago
Language Evolution by Iterated Learning With Bayesian Agents
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that la...
Thomas L. Griffiths, Michael L. Kalish
TSP
2008
99views more  TSP 2008»
14 years 9 months ago
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference
Abstract--In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to i...
Martin Hurtado, Tong Zhao, Arye Nehorai
MICCAI
2010
Springer
14 years 7 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...