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» Iterative Learning Control - Monotonicity and Optimization
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving analog controllers for correcting thermoacoustic instability in real hardware
Previous research demonstrated that Evolvable Hardware (EH) techniques can be employed to suppress Thermoacoustic (TA) instability in a computer simulated combustion chamber. Thou...
Saranyan Vigraham, John C. Gallagher, Sanjay K. Bo...
TIT
2010
141views Education» more  TIT 2010»
14 years 4 months ago
Distributed averaging via lifted Markov chains
Abstract--Motivated by applications of distributed linear estimation, distributed control, and distributed optimization, we consider the question of designing linear iterative algo...
Kyomin Jung, Devavrat Shah, Jinwoo Shin
JMLR
2006
124views more  JMLR 2006»
14 years 10 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 4 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
JAIR
1998
195views more  JAIR 1998»
14 years 9 months ago
AntNet: Distributed Stigmergetic Control for Communications Networks
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
Gianni Di Caro, Marco Dorigo