1605 search results - page 184 / 321 » Metric Learning to Rank |
117
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ECAI
2004
Springer
15 years 9 months ago
2004
Springer
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
138
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ILP
2003
Springer
15 years 9 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
136
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TSMC
2008
15 years 3 months ago
2008
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
140
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WSDM
2012
ACM
13 years 11 months ago
2012
ACM
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
140
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...