228 search results - page 17 / 46 » Reinforcement Learning for Combining Relevance Feedback Tech... |
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
84
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ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
IJAMCIGI
2010
14 years 7 months ago
2010
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
123
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JMLR
2010
14 years 4 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
79
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SAC
2009
ACM
15 years 4 months ago
2009
ACM
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...