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ICML
2005
IEEE
15 years 10 months ago
New approaches to support vector ordinal regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
Wei Chu, S. Sathiya Keerthi
CORR
2006
Springer
130views Education» more  CORR 2006»
14 years 10 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
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...
Christian Gagné, Marc Schoenauer, Mich&egra...
IJCSA
2007
99views more  IJCSA 2007»
14 years 10 months ago
Wing Pattern-Based Classification of the Rhagoletis pomonella Species Complex Using Genetic Neural Networks
The Rhagoletis pomonella species complex consists of at least four sibling species. They are highly host specific as larvae, and display great fidelity as adults. The only certain...
Chengpeng Bi, Michael C. Saunders, Bruce A. McPher...
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 4 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
GCC
2003
Springer
15 years 3 months ago
A New Navigation Method for Web Users
Despite the growth of Internet and the advances in WWW technology, current methods for web users to make good use of information from so enormous web pages are not as efficient as ...
Jie Yang, Guoqing Wu, Luis Zhu