1118 search results - page 35 / 224 » Data Mining via Support Vector Machines |
BMCBI
2008
14 years 10 months ago
2008
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
JMLR
2008
14 years 9 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
ICDAR
2005
IEEE
15 years 3 months ago
2005
IEEE
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
IDEAL
2005
Springer
15 years 3 months ago
2005
Springer
Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...