2898 search results - page 249 / 580 » Ensemble Methods in Machine Learning |
ACIVS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
ACL
2003
13 years 9 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...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...