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» Designing an Optimal Network Using the Cross-Entropy Method
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151
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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 9 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
133
Voted
NIPS
1996
15 years 5 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
125
Voted
ISCAS
2005
IEEE
191views Hardware» more  ISCAS 2005»
15 years 9 months ago
Behavioural modeling and simulation of a switched-current phase locked loop
Recent work has shown that the use of switched current methods can provide an effective route to implementation of analog IC functionality using a standard digital CMOS process. Fu...
Peter R. Wilson, Reuben Wilcock
107
Voted
AAAI
2004
15 years 5 months ago
Towards Autonomic Computing: Adaptive Job Routing and Scheduling
Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have beg...
Shimon Whiteson, Peter Stone
107
Voted
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
15 years 7 months ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee