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» The importance of learning in fuzzy systems
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BSL
2008
92views more  BSL 2008»
13 years 7 months ago
Mathematical Fuzzy Logics
The last decade has seen an enormous development in infinite-valued systems and in particular in such systems which have become known as mathematical fuzzy logics. The paper discus...
Siegfried Gottwald
AWCC
2004
Springer
14 years 28 days ago
Fuzzy Logic-Based Image Retrieval
This paper imports the fuzzy logic into image retrieval to deal with the vagueness and ambiguity of human judgment of image similarity. Our retrieval system has the following prop...
Xiaoling Wang, Kanglin Xie
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 7 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal
ESANN
2004
13 years 9 months ago
Convergence properties of a fuzzy ARTMAP network
FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...
Razvan Andonie, Lucian Sasu
IJAR
2008
95views more  IJAR 2008»
13 years 7 months ago
Rule reduction for efficient inferencing in similarity based reasoning
The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh's Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). ...
Balasubramaniam Jayaram