1334 search results - page 113 / 267 » Composite kernel learning |
100
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ICWE
2004
Springer
15 years 8 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...
152
Voted
IROS
2009
IEEE
15 years 10 months 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...
120
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ICDCS
2007
IEEE
15 years 9 months 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...
101
Voted
NIPS
2007
15 years 4 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...
131
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JIIS
2006
15 years 3 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...