964 search results - page 99 / 193 » Incremental and Decremental Support Vector Machine Learning |
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
In many applications, data appear with a huge number of instances as well as features. Linear Support Vector Machines (SVM) is one of the most popular tools to deal with such larg...
102
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
104
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ICAPR
2009
Springer
15 years 8 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
112
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COLT
2001
Springer
15 years 6 months ago
2001
Springer
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
ICMLA
2010
14 years 11 months ago
2010
Abstract--Support vector machines (SVMs) were initially proposed to solve problems with two classes. Despite the myriad of schemes for multiclassification with SVMs proposed since ...