979 search results - page 143 / 196 » Support Vector Machine Classification with Indefinite Kernel... |
141
Voted
JMLR
2011
14 years 10 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
145
click to vote
KDD
2002
ACM
16 years 4 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
160
click to vote
ISCIS
2005
Springer
15 years 9 months ago
2005
Springer
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
141
click to vote
KDD
2005
ACM
16 years 4 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
109
click to vote
ISMB
2001
15 years 5 months ago
2001
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...