2031 search results - page 174 / 407 » Non-symmetric Support Vector Machines |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
EMNLP
2008
13 years 9 months ago
2008
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
ALMOB
2008
13 years 8 months ago
2008
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...