1334 search results - page 45 / 267 » Composite kernel learning |
133
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IJCAI
2007
15 years 4 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
149
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ML
2008
ACM
15 years 1 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
137
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PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
139
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KDD
2006
ACM
16 years 3 months ago
2006
ACM
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
127
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DAGM
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...