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IJAR
2006
133views more  IJAR 2006»
15 years 4 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
ISCI
2006
136views more  ISCI 2006»
15 years 4 months ago
Computing with words for text processing: An approach to the text categorization
The use of the computing with words paradigm for the automatic text documents categorization problem is discussed. This specific problem of information retrieval (IR) becomes more...
Slawomir Zadrozny, Janusz Kacprzyk
JMLR
2006
143views more  JMLR 2006»
15 years 4 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
NPL
2006
109views more  NPL 2006»
15 years 4 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
IJDAR
2000
77views more  IJDAR 2000»
15 years 4 months ago
Symbol and character recognition: application to engineering drawings
: In this paper, we consider the general problem of technical document interpretation, applied to the documents of the French Telephonic Operator, France Telecom. More precisely, w...
Sébastien Adam, Jean-Marc Ogier, Claude Car...