82 search results - page 7 / 17 » Balancing Exploration and Exploitation in Learning to Rank O... |
173
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CEC
2009
IEEE
16 years 24 days ago
2009
IEEE
— The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
173
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
165
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SMC
2007
IEEE
16 years 9 days ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
190
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WSDM
2012
ACM
14 years 1 months ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
169
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...