1305 search results - page 132 / 261 » An Optimization Algorithm Based on Active and Instance-Based... |
119
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DIS
2009
Springer
15 years 9 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
125
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LCPC
2005
Springer
15 years 8 months ago
2005
Springer
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
151
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
122
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KDD
2005
ACM
16 years 3 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
172
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TFS
2008
15 years 2 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...