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» The Expected Value of Hierarchical Problem-Solving
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ICANN
2005
Springer
13 years 10 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 6 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
ATAL
2005
Springer
13 years 10 months ago
On possibilistic case-based reasoning for selecting partners for multi-attribute agent negotiation
We propose an enhanced mechanism for selecting partners for multi-attribute negotiation. The mechanism employs possibilistic case-based reasoning. The possibility of successful ne...
Jakub Brzostowski, Ryszard Kowalczyk
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolutionary change in developmental timing
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially genera...
Kei Ohnishi, Kaori Yoshida
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 5 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...