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ECAI
2010
Springer
15 years 5 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
TSMC
2008
93views more  TSMC 2008»
15 years 4 months ago
Selection of DNA Markers
Given a genome, i.e., a long string over a fixed finite alphabet, the problem is to find short (dis)similar substrings. This computationally intensive task has many biological appl...
Hendrik Jan Hoogeboom, Walter A. Kosters, Jeroen F...
PRL
1998
132views more  PRL 1998»
15 years 4 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
WWW
2004
ACM
16 years 5 months ago
A hybrid approach for searching in the semantic web
This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontol...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...
CIKM
2009
Springer
15 years 11 months ago
Graph-based seed selection for web-scale crawlers
One of the most important steps in web crawling is determining the starting points, or seed selection. This paper identifies and explores the problem of seed selection in webscal...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles