594 search results - page 49 / 119 » Feature Selection for Value Function Approximation Using Bay... |
105
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IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
109
Voted
CORR
2011
Springer
14 years 6 months ago
2011
Springer
The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mecha...
117
Voted
ICIP
2000
IEEE
16 years 3 months ago
2000
IEEE
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
115
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UAI
1997
15 years 3 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
103
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NIPS
2001
15 years 3 months ago
2001
Mutual information is widely used, in a descriptive way, to measure the stochastic dependence of categorical random variables. In order to address questions such as the reliabilit...