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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 11 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
NIPS
2004
13 years 9 months ago
Using the Equivalent Kernel to Understand Gaussian Process Regression
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...
Peter Sollich, Christopher K. I. Williams
DSVIS
2003
Springer
14 years 26 days ago
Higher-Order Task Models
Based on a revision of the common task understanding in model-based approaches a formal meta model is proposed which allows more expressive task descriptions. A task is considered ...
Anke Dittmar, Peter Forbrig
CIKM
2009
Springer
14 years 2 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
LICS
2008
IEEE
14 years 2 months ago
An Algebraic Process Calculus
We present an extension of the πI-calculus with formal sums of terms. The study of the properties of this sum reveals that its neutral element can be used to make assumptions abo...
Emmanuel Beffara