2914 search results - page 222 / 583 » Learning and Inference with Constraints |
184
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IJPRAI
2000
15 years 6 months ago
2000
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
144
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CP
2010
Springer
15 years 5 months ago
2010
Springer
In this paper we show that the power of using k-consistency techniques in a constraint problem is precisely captured by using a particular inference rule, which we call positive-hy...
171
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ACL
2009
15 years 4 months ago
2009
We present a phrasal synchronous grammar model of translational equivalence. Unlike previous approaches, we do not resort to heuristics or constraints from a word-alignment model,...
192
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INTERSPEECH
2010
15 years 1 months ago
2010
We propose a probabilistic factorial sparse coder model for single channel source separation in the magnitude spectrogram domain. The mixture spectrogram is assumed to be the sum ...
166
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...