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» Ensembles of Fuzzy Classifiers
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JIFS
2008
155views more  JIFS 2008»
13 years 7 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
SIVP
2008
127views more  SIVP 2008»
13 years 7 months ago
Image indexing and retrieval using expressive fuzzy description logics
Abstract The effective management and exploitation of multimedia documents requires the extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly ri...
Nikos Simou, Thanos Athanasiadis, Giorgos Stoilos,...
TFS
2008
230views more  TFS 2008»
13 years 7 months 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....
SOCO
2008
Springer
13 years 6 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
13 years 7 months 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...