794 search results - page 59 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
121
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
136
Voted
IRREGULAR
1995
Springer
15 years 7 months ago
1995
Springer
Sparse matrix problems are di cult to parallelize e ciently on message-passing machines, since they access data through multiple levels of indirection. Inspector executor strategie...
140
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
121
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
114
Voted
CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper proposes a novel hybrid GA/SVM method that can predict the interactions between proteins intermediated by the protein-domain relations. Firstly, we represented a protein...