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106
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
118
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
115
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ICMCS
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) unde...
110
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IBPRIA
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
128
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ATAL
2010
Springer
15 years 2 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...