1416 search results - page 171 / 284 » Optimal feature selection for support vector machines |
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
A novel automatic image annotation system is proposed, which integrates two sets of SVMs (Support Vector Machines), namely the MIL-based (Multiple Instance Learning) and global-fe...
ICASSP
2011
IEEE
13 years 26 days 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 7 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...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
ICALT
2010
IEEE
13 years 10 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 ...