504 search results - page 25 / 101 » Support Vector Classification with Input Data Uncertainty |
156
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...
121
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EVOW
2006
Springer
15 years 4 months ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
109
Voted
HIS
2004
15 years 1 months ago
2004
: A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
BMCBI
2008
15 years 16 days ago
2008
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
120
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CORR
2008
Springer
15 years 15 days ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...