1334 search results - page 113 / 267 » Composite kernel learning |
135
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ICWE
2004
Springer
15 years 11 months ago
2004
Springer
This paper describes the personalisation services designed for self e-learning networks in the SeLeNe project. A self e-learning network consists of web-based learning objects that...
183
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IROS
2009
IEEE
16 years 29 days ago
2009
IEEE
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
154
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ICDCS
2007
IEEE
16 years 19 days ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
144
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NIPS
2007
15 years 7 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
167
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JIIS
2006
15 years 6 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...