8970 search results - page 318 / 1794 » Learning to Learn Causal Models |
162
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
176
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INTERSPEECH
2010
15 years 1 months ago
2010
In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
179
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
183
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ICCV
1998
IEEE
16 years 8 months ago
1998
IEEE
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
191
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ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...