703 search results - page 70 / 141 » Predicting Time Series with Support Vector Machines |
107
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
110
Voted
ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper presents an automatic video genre categorization scheme based on the hierarchical ontology on video genres. Ten computable spatio-temporal features are extracted to dis...
119
Voted
ECML
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
144
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
139
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...