3050 search results - page 166 / 610 » On-line Algorithms in Machine Learning |
131
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
135
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CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
133
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
143
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ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
126
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ECML
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...