3643 search results - page 406 / 729 » Learning Submodular Functions |
169
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
163
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
158
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ML
2002
ACM
15 years 6 months ago
2002
ACM
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
223
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NN
2007
Springer
15 years 6 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
200
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...