2476 search results - page 163 / 496 » Model Selection and Error Estimation |
141
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NIPS
2007
15 years 5 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
176
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
219
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Non-rigid object detection and articulated pose estimation
are two related and challenging problems in computer
vision. Numerous models have been proposed over the
years and oft...
135
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COLT
2000
Springer
15 years 8 months ago
2000
Springer
Haussler, Kearns, Seung and Tishby introduced the notion of a shell decomposition of the union bound as a means of understanding certain empirical phenomena in learning curves suc...
147
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PAA
2002
15 years 4 months ago
2002
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...