2487 search results - page 44 / 498 » Automatic Model Selection by Modelling the Distribution of R... |
166
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JMLR
2010
14 years 11 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
129
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SRDS
2003
IEEE
15 years 10 months ago
2003
IEEE
The perfectly synchronized round model provides the abstraction of crash-stop failures with atomic message delivery. This abstraction makes distributed programming very easy. We p...
132
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NIPS
2008
15 years 6 months ago
2008
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
154
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
124
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INTERSPEECH
2010
14 years 11 months ago
2010
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...