1863 search results - page 267 / 373 » Multiagent learning using a variable learning rate |
135
Voted
JMLR
2008
15 years 2 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
146
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JMLR
2010
14 years 9 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
121
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ECML
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
128
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INFOCOM
1997
IEEE
15 years 6 months ago
1997
IEEE
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...
118
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EMNLP
2007
15 years 4 months ago
2007
This paper presents a syntax-driven approach to question answering, specifically the answer-sentence selection problem for short-answer questions. Rather than using syntactic fea...