1336 search results - page 132 / 268 » A Bayesian Computational Cognitive Model |
177
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CVIU
2007
15 years 4 months ago
2007
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
138
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
121
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HUC
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
133
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UAI
2003
15 years 5 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
153
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RECOMB
2003
Springer
16 years 4 months ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...