978 search results - page 98 / 196 » Infinite Ensemble Learning with Support Vector Machines |
138
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ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
157
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JMLR
2006
15 years 4 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
177
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
139
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PRICAI
2000
Springer
15 years 8 months ago
2000
Springer
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
135
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KDD
2005
ACM
16 years 4 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...