3413 search results - page 99 / 683 » New Support Vector Algorithms |
109
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
120
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HPCA
2006
IEEE
16 years 2 months ago
2006
IEEE
Allowing loads to issue out-of-order with respect to earlier unresolved store addresses is very important for extracting parallelism in large-window superscalar processors. Blindl...
133
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
104
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This approach has opened new perspectives since it makes ...
101
Voted
AISC
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. We present a personal view and strategy for algorithm-supported mathematical theory exploration and draw some conclusions for the desirable functionality of future mathem...