418 search results - page 2 / 84 » Using Support Vector Machines for Classifying Large Sets of ... |
KDD
2000
ACM
13 years 8 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
WWW
2004
ACM
14 years 5 months ago
2004
ACM
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
BMCBI
2007
13 years 4 months ago
2007
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
TNN
2010
12 years 11 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...