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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 9 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
AAAI
1996
13 years 11 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 4 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
HICSS
2003
IEEE
99views Biometrics» more  HICSS 2003»
14 years 3 months ago
Electronic Government at the Grass Roots: Contemporary Evidence and Future Trends
In this article we explore the short and largely undocumented history of electronic government, discuss the literature of e-government at the local government level, and document ...
Stephen H. Holden, Donald F. Norris, Patricia D. F...
SIGSOFT
2002
ACM
14 years 10 months ago
Isolating cause-effect chains from computer programs
Consider the execution of a failing program as a sequence of program states. Each state induces the following state, up to the failure. Which variables and values of a program sta...
Andreas Zeller