3898 search results - page 590 / 780 » On the Bit Extraction Problem |
158
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
142
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
190
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
161
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
156
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...