299 search results - page 18 / 60 » Multiple kernel learning and feature space denoising |
151
Voted
ICDAR
2009
IEEE
15 years 1 months ago
2009
IEEE
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
158
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
116
Voted
NPL
2002
15 years 3 months ago
2002
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
143
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
135
Voted
ICML
2004
IEEE
16 years 4 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...