155 search results - page 11 / 31 » Sparse support vector machines trained in the reduced empiri... |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
ICASSP
2009
IEEE
13 years 6 months ago
2009
IEEE
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
FGR
2004
IEEE
14 years 9 days ago
2004
IEEE
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...