1011 search results - page 123 / 203 » Feature Selection for Support Vector Machines |
MM
2006
ACM
14 years 1 months ago
2006
ACM
This paper proposes a mapping learning approach for caricature auto-generation. Simulating the artist’s creativity based on the object’s facial feature, our approach targets d...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Gaussian mixture models (GMMs) are commonly used to model the spectral distribution of speech signals for text-independent speaker verification. Mean vectors of the GMM, used in c...
ICMLC
2010
Springer
13 years 5 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
ICALT
2010
IEEE
13 years 9 months ago
2010
IEEE
In this study I use statistical Natural Language Processing and adapted Controlled Language methods to preprocess individual documents before they are used as source documents for ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In many applications, data appear with a huge number of instances as well as features. Linear Support Vector Machines (SVM) is one of the most popular tools to deal with such larg...