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GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
13 years 11 months ago
Coevolution of neural networks using a layered pareto archive
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
German A. Monroy, Kenneth O. Stanley, Risto Miikku...
AAAI
2008
13 years 10 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
AAAI
2007
13 years 10 months ago
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Kathleen T. Durant, Michael D. Smith
ATAL
2008
Springer
13 years 9 months ago
Cost-based BDI plan selection for change propagation
Software maintenance is responsible for as much as two thirds of the cost of any software, and is consequently an important research area. In this paper we focus on the change pro...
Khanh Hoa Dam, Michael Winikoff
CEC
2008
IEEE
13 years 9 months ago
Multilevel cooperative coevolution for large scale optimization
In this paper, we propose a multilevel cooperative coevolution (MLCC) framework for large scale optimization problems. The motivation is to improve our previous work on grouping ba...
Zhenyu Yang, Ke Tang, Xin Yao