247 search results - page 29 / 50 » Superset Learning Based on Generalized Loss Minimization |
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
103
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ACL
2003
15 years 1 months ago
2003
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
92
Voted
ECML
2007
Springer
15 years 6 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...
124
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ISCIS
2005
Springer
15 years 5 months ago
2005
Springer
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
94
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EWSN
2009
Springer
16 years 27 days ago
2009
Springer
The low quality of wireless links leads to perpetual packet losses. While an acknowledgment mechanism is generally used to cope with these losses, multiple retransmissions neverthe...