703 search results - page 63 / 141 » Predicting Time Series with Support Vector Machines |
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. ...
111
Voted
LWA
2004
15 years 5 months ago
2004
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
166
Voted
ACII
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. In this study we propose a methodology to investigate possible prosody and voice quality correlates of social signals, and test-run it on annotated naturalistic recording...
155
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) ...
127
Voted
ISCOPE
1998
Springer
15 years 7 months ago
1998
Springer
In this paper we present a parallel runtime substrate that supports a global addressing scheme, object mobility, and automatic message forwarding required for the implementation o...