711 search results - page 70 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
116
click to vote
KAIS
2006
14 years 11 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
102
click to vote
JMLR
2010
14 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
120
click to vote
JMLR
2012
13 years 2 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
115
click to vote
COLT
2003
Springer
15 years 5 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
141
click to vote
BMCBI
2011
14 years 6 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...