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» Problems and Prospects in Fuzzy Data Analysis
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CIBB
2008
14 years 11 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 2 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
IJKESDP
2010
94views more  IJKESDP 2010»
14 years 4 months ago
Neuro-fuzzy-combiner: an effective multiple classifier system
: A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification pro...
Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Sa...
TSMC
2008
116views more  TSMC 2008»
14 years 9 months ago
Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties
This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification o...
Mohit Kumar, D. Arndt, Steffi Kreuzfeld, Kerstin T...
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FSKD
2009
Springer
145views Fuzzy Logic» more  FSKD 2009»
15 years 4 months ago
Chinese Web Comments Clustering Analysis with a Two-phase Method
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
Yexin Wang, Li Zhao, Yan Zhang