936 search results - page 4 / 188 » Learning with Rigorous Support Vector Machines |
ICML
2006
IEEE
15 years 10 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
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
IDEAL
2005
Springer
15 years 2 months ago
2005
Springer
Prediction of peroxisomal matrix proteins generally depends on the presence of one of two distinct motifs at the end of the amino acid sequence. PTS1 peroxisomal proteins have a we...