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» A KFCM-Based Fuzzy Classifier
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126
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TFS
2008
230views more  TFS 2008»
15 years 10 days ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
124
Voted
SOCO
2008
Springer
14 years 11 months ago
Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems
Location awareness is the key capability of mobilecomputingapplications. Despitehighdemand, indoor location technologies have not become truly ubiquitous mainly due to their requir...
Uzair Ahmad, Andrey Gavrilov, Young-Koo Lee, Sungy...
ASC
2008
15 years 16 days ago
Development of scheduling strategies with Genetic Fuzzy systems
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
ESWA
2006
78views more  ESWA 2006»
15 years 13 days ago
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
A system to prevent subscription fraud in fixed telecommunications with high impact on long-distance carriers is proposed. The system consists of a classification module and a pre...
Pablo A. Estévez, Claudio M. Held, Claudio ...
98
Voted
ECCV
2002
Springer
16 years 2 months ago
Neuro-Fuzzy Shadow Filter
In video sequence processing, shadow remains a major source of error for object segmentation. Traditional methods of shadow removal are mainly based on colour difference threshold...
Benny P. L. Lo, Guang-Zhong Yang