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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
ICALT
2005
IEEE
15 years 3 months ago
2005
IEEE
We discuss the design of language tools, and explore new approaches for the development of language-learning environments. We take a standpoint in the learning perspective labelle...
COLT
2003
Springer
15 years 2 months ago
2003
Springer
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...