2487 search results - page 44 / 498 » Automatic Model Selection by Modelling the Distribution of R... |
JMLR
2010
14 years 4 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...
SRDS
2003
IEEE
15 years 3 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...
NIPS
2008
14 years 11 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...
GECCO
2006
Springer
15 years 1 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...
INTERSPEECH
2010
14 years 4 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...