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ICTAI
2006
IEEE
16 years 1 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
ML
2006
ACM
122views Machine Learning» more  ML 2006»
16 years 1 months ago
Type-safe modular hash-consing
Hash-consing is a technique to share values that are structurally equal. Beyond the obvious advantage of saving memory blocks, hash-consing may also be used to speed up fundamenta...
Jean-Christophe Filliâtre, Sylvain Conchon
ICALT
2005
IEEE
16 years 22 days ago
Collaborative Virtual Environment Technology for People with Autism
This paper focuses on an investigation of Collaborative Virtual Environment (CVE) technology for people with autism, paying particular attention to the use of avatar representatio...
Yufang Cheng, David J. Moore, Paul McGrath, Yulei ...
ICML
2004
IEEE
16 years 17 days ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
ITICSE
1997
ACM
15 years 11 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley