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» Combining Multiple Clustering Systems
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129
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AAAI
2006
15 years 4 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce
IEEEHPCS
2010
15 years 1 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...
116
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FUZZIEEE
2007
IEEE
15 years 9 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Approximating the selectivity of multimedia range queries
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a mul...
Mario Döller, Harald Kosch
119
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ISARCS
2010
156views Hardware» more  ISARCS 2010»
15 years 5 months ago
A Road to a Formally Verified General-Purpose Operating System
Methods of formal description and verification represent a viable way for achieving fundamentally bug-free software. However, in reality only a small subset of the existing operati...
Martin Decký