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GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
15 years 6 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
119
Voted
NN
2007
Springer
162views Neural Networks» more  NN 2007»
15 years 2 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...
MDAFA
2004
Springer
111views Hardware» more  MDAFA 2004»
15 years 8 months ago
Model Transformation Language MOLA
The paper describes a new graphical model transformation language MOLA. The basic idea of MOLA is to merge traditional structured programming as a control structure with pattern-ba...
Audris Kalnins, Janis Barzdins, Edgars Celms
115
Voted
BIRTHDAY
2005
Springer
15 years 8 months ago
Towards Comprehensive Computational Models for Plan-Based Control of Autonomous Robots
In this paper we present an overview of recent developments in the plan-based control of autonomous robots. We identify computational principles that enable autonomous robots to a...
Michael Beetz
124
Voted
CDC
2010
IEEE
116views Control Systems» more  CDC 2010»
14 years 9 months ago
A stochastic control approach to coding with feedback over degraded broadcast channels
In this paper we attempt to further demonstrate connections between information theory and control, in a networked setting. Specifically, we consider the communication problem of b...
Siva K. Gorantla, Todd P. Coleman