1957 search results - page 64 / 392 » Approximate algorithms for neural-Bayesian approaches |
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TNN
2010
14 years 4 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
ACSC
2009
IEEE
15 years 4 months ago
2009
IEEE
Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online...
WECWIS
2005
IEEE
15 years 3 months ago
2005
IEEE
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
ACL
2004
14 years 11 months ago
2004
This paper shows how finite approximations of long distance dependency (LDD) resolution can be obtained automatically for wide-coverage, robust, probabilistic Lexical-Functional G...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...