2326 search results - page 163 / 466 » Optimization on Support Vector Machines |
EMNLP
2009
14 years 8 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. ...
92
Voted
ICMLA
2009
14 years 8 months ago
2009
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
87
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
80
Voted
ICPR
2010
IEEE
15 years 20 days ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...