1336 search results - page 52 / 268 » A Bayesian Computational Cognitive Model |
158
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ACL
2012
13 years 6 months ago
2012
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
121
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CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
136
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SBP
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. A body of psychological research has examined the correspondence between a judge’s subjective probability of an event’s outcome and the event’s actual outcome. The ...
151
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SOFSEM
1999
Springer
15 years 8 months ago
1999
Springer
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...
117
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...