2914 search results - page 376 / 583 » Learning and Inference with Constraints |
168
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NIPS
2008
15 years 8 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
159
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FLAIRS
2004
15 years 8 months ago
2004
In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
177
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ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
188
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ICMLA
2009
15 years 4 months ago
2009
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
267
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CAISE
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...