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» Learning to Control in Operational Space
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146
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TNN
1998
100views more  TNN 1998»
15 years 3 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
137
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APIN
2002
90views more  APIN 2002»
15 years 3 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
139
Voted
ICTAI
2000
IEEE
15 years 8 months ago
Designing a learning-automata-based controller for client/server systems: a methodology
Abstract— Polling policies have been introduced to simplify the accessing process in client/server systems by a centralized control access scheme. This paper considers a client/s...
Georgios I. Papadimitriou, Athena Vakali, Andreas ...
122
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
ISDA
2008
IEEE
15 years 10 months ago
Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...