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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 8 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
ICCAD
1994
IEEE
119views Hardware» more  ICCAD 1994»
15 years 8 months ago
Adaptive cut line selection in min-cut placement for large scale sea-of-gates arrays
We present a new min-cut based placement algorithm for large scale sea-of-gates arrays. In the past all such algorithms used a xed cut line sequence that is determined before min...
Kazuhiro Takahashi, Kazuo Nakajima, Masayuki Terai...
ISMB
1993
15 years 5 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
ICDCS
2009
IEEE
16 years 1 months ago
Autonomous Resource Selection for Decentralized Utility Computing
Many large-scale utility computing infrastructures comprise heterogeneous hardware and software resources. This raises the need for scalable resource selection services, which ide...
Paolo Costa, Jeff Napper, Guillaume Pierre, Maarte...
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray