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CUZA
2002
14 years 9 months ago
2002
This paper presents Process Algebra for Predictible Control Systems (PAPCS) as a model for specifying and analysis of concurrent, time and resource dependent, distributed control s...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
GECCO
2009
Springer
15 years 2 months ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
SIGECOM
2004
ACM
15 years 3 months ago
2004
ACM
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
TJS
2010
14 years 8 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...