2033 search results - page 140 / 407 » Support Vector Committee Machines |
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
SEAL
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...