2036 search results - page 184 / 408 » From Sampling to Model Counting |
181
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NIPS
2000
15 years 7 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
178
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
We revisit the topics of near-field adaptive beamforming and source localization following an alternative approach based on a spatiotemporal spectral representation of the acoust...
173
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COLING
2002
15 years 6 months ago
2002
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
149
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NECO
2000
15 years 6 months ago
2000
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
195
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TSP
2010
15 years 29 days ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...