1989 search results - page 40 / 398 » Learning to Select Useful Landmarks |
126
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
150
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COLT
2010
Springer
15 years 1 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
142
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SGAI
2004
Springer
15 years 8 months ago
2004
Springer
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
165
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IJCAI
2007
15 years 4 months ago
2007
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
153
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CIKM
2006
Springer
15 years 7 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...