337 search results - page 3 / 68 » Efficient algorithms for ranking with SVMs |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
IWANN
1999
Springer
13 years 11 months ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
NIPS
2000
13 years 8 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...