1118 search results - page 157 / 224 » Data Mining via Support Vector Machines |
BMCBI
2006
2006
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
14 years 10 months ago
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
MCS
2005
Springer
15 years 3 months ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...