993 search results - page 93 / 199 » Learning RoboCup-Keepaway with Kernels |
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PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
CORR
2012
Springer
13 years 5 months ago
2012
Springer
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
105
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IADIS
2008
14 years 11 months ago
2008
Building semantics concepts into the learning tools and utilities will open the road for the next generation of the Learning Content Management System (LCMS). We propose here to n...
NIPS
2004
14 years 11 months ago
2004
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
NIPS
2003
14 years 11 months ago
2003
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...