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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 4 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
ISNN
2007
Springer
15 years 10 months ago
Online Dynamic Value System for Machine Learning
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...
Haibo He, Janusz A. Starzyk
ATAL
2004
Springer
15 years 9 months ago
When to Apply the Fifth Commandment: The Effects of Parenting on Genetic and Learning Agents
This paper explores hybrid agents that use a variety of techniques to improve their performance in an environment over time. We considered, specifically, geneticlearning-parentin...
Michael Berger, Jeffrey S. Rosenschein
ESANN
2007
15 years 5 months ago
Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning
In this paper, we investigate motor primitive learning with the Natural Actor-Critic approach. The Natural Actor-Critic consists out of actor updates which are achieved using natur...
Jan Peters, Stefan Schaal
ML
1998
ACM
136views Machine Learning» more  ML 1998»
15 years 3 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair