1393 search results - page 104 / 279 » Machine Learning by Function Decomposition |
135
Voted
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
109
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
86
Voted
COLT
1992
Springer
15 years 6 months ago
1992
Springer
In this paper we initiatean investigationof generalizationsof the ProbablyApproximatelyCorrect (PAC) learningmodelthat attemptto significantlyweakenthe target functionassumptions.T...
120
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
122
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...