2683 search results - page 269 / 537 » Machine learning problems from optimization perspective |
111
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. In some learning settings, the cost of acquiring features for classification must be paid up front, before the classifier is evaluated. In this paper, we introduce the fo...
134
Voted
EMNLP
2009
15 years 1 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. ...
129
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VEE
2005
ACM
15 years 9 months ago
2005
ACM
Virtual Machine (VM) environments (e.g., VMware and Xen) are experiencing a resurgence of interest for diverse uses including server consolidation and shared hosting. An applicati...
139
Voted
CIBCB
2005
IEEE
15 years 9 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
143
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...