1037 search results - page 42 / 208 » Learning of Boolean Functions Using Support Vector Machines |
IJCNLP
2005
Springer
14 years 1 months ago
2005
Springer
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
ICDM
2007
IEEE
13 years 9 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...