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» Evolving Quantum Circuits Using Genetic Algorithm
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AI
2002
Springer
13 years 7 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
EPS
1998
Springer
13 years 11 months ago
Acquisition of General Adaptive Features by Evolution
We investigate the following question. Do populations of evolving agents adapt only to their recent environment or do general adaptive features appear over time? We find statistica...
Dan Ashlock, John E. Mayfield
ITC
2003
IEEE
148views Hardware» more  ITC 2003»
14 years 20 days ago
HyAC: A Hybrid Structural SAT Based ATPG for Crosstalk
As technology evolves into the deep sub-micron era, signal integrity problems are growing into a major challenge. An important source of signal integrity problems is the crosstalk...
Xiaoliang Bai, Sujit Dey, Angela Krstic
EVOW
2010
Springer
13 years 10 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
ECAL
1995
Springer
13 years 11 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph