861 search results - page 85 / 173 » From Simple Features to Sophisticated Evaluation Functions |
132
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AAAI
1996
15 years 3 months ago
1996
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
151
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NIPS
2003
15 years 3 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
121
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CORR
2006
Springer
15 years 1 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
105
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AAAI
2006
15 years 3 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
149
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INFOCOM
1998
IEEE
15 years 5 months ago
1998
IEEE
To support the Internet's explosive growth and expansion into a true integrated services network, there is a need for cost-effective switching technologies that can simultaneo...