389 search results - page 48 / 78 » New approaches to support vector ordinal regression |
PAKDD
2004
ACM
15 years 5 months ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
118
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KDD
2003
ACM
16 years 4 days ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
88
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ICML
2007
IEEE
16 years 17 days ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
COLT
2008
Springer
15 years 1 months ago
2008
Springer
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...