1037 search results - page 77 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ECML
2006
Springer
14 years 22 days ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
JMLR
2008
13 years 9 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
BMCBI
2007
13 years 9 months ago
2007
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...