864 search results - page 30 / 173 » Selective Attention Improves Learning |
96
Voted
INFORMATICALT
2006
15 years 20 days ago
2006
Abstract. The asynchronous techniques that exist within the programming with distributed constraints are characterized by the occurrence of the nogood values during the search for ...
ICC
2007
IEEE
15 years 7 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
98
Voted
NIPS
2004
15 years 2 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
112
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
104
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SDM
2010
SIAM
15 years 2 months ago
2010
SIAM
Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...