1118 search results - page 49 / 224 » Data Mining via Support Vector Machines |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
WWW
2005
ACM
15 years 10 months ago
2005
ACM
Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital step in automatic text categorization. In this paper, we conducted com...
ACML
2009
Springer
15 years 1 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
EMNLP
2009
14 years 7 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...