990 search results - page 17 / 198 » Evolving kernels for support vector machine classification |
108
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ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
98
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TRECVID
2008
15 years 1 months ago
2008
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
111
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MIR
2006
ACM
15 years 5 months ago
2006
ACM
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
CIBB
2008
15 years 1 months ago
2008
Abstract. We evaluated methods of protein classification that use kernels built from BLAST output parameters. Protein sequences were represented as vectors of parameters (e.g. simi...
103
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EMNLP
2009
14 years 9 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. ...