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» The Learning Power of Evolution
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
110
Voted
BLISS
2007
IEEE
15 years 10 months ago
An Improved Particle Swarm Optimization Algorithm for Power-Efficient Wireless Sensor Networks
Erfu Yang, Ahmet T. Erdogan, Tughrul Arslan, Nick ...
126
Voted
COLT
2008
Springer
15 years 5 months ago
On the Power of Membership Queries in Agnostic Learning
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
Vitaly Feldman
118
Voted
WIRTSCHAFTSINFORMATI
2007
15 years 4 months ago
Management of Portal Evolution
Software evolution is an essential concept underlying the engineering of corporate portals. Due to the complexity of such systems, it requires great effort and is not advisable to...
Hong Tuan Kiet Vo, Helmuth Elsner
124
Voted
INFORMATICALT
2010
101views more  INFORMATICALT 2010»
15 years 2 months ago
An Improved Differential Evolution Scheme for the Solution of Large-Scale Unit Commitment Problems
This paper presents an improved differential evolution (IDE) method for the solution of large-scale unit commitment (UC) problems. The objective of the proposed scheme is to determ...
Chen-Sung Chang