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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
ICCV
2005
IEEE
14 years 1 months ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
13 years 11 months ago
Frequency Selective Model Order Reduction via Spectral Zero Projection
As process technology continues to scale into the nanoscale regime, interconnect plays an ever increasing role in determining VLSI system performance. As the complexity of these sy...
Mehboob Alam, Arthur Nieuwoudt, Yehia Massoud
GECCO
2011
Springer
247views Optimization» more  GECCO 2011»
12 years 11 months ago
An agent-based model of the effects of a primate social structure on the speed of natural selection
The rate of speciation is in most mammals an order of magnitude faster than in most other vertebrates. It is faster still in the social mammals. The apparent association between c...
Gideon M. Gluckman, Joanna Bryson
ECCV
2004
Springer
14 years 9 months ago
Model Selection for Range Segmentation of Curved Objects
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
Alireza Bab-Hadiashar, Niloofar Gheissari