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» Incremental learning in Fuzzy Pattern Matching
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VLSISP
2002
124views more  VLSISP 2002»
13 years 5 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
EUSFLAT
2009
125views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A Dynamic Classification Method for the Discrimination of Evolving Data
Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
PR
2008
123views more  PR 2008»
13 years 5 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
EDUTAINMENT
2006
Springer
13 years 9 months ago
Dynamic User Modeling for Sketch-Based User Interface
Abstract. This paper presents a strategy of dynamic user modeling for sketchbased user interface. A user model is defined as an incremental decision tree for a specific user. A dra...
Zhengxing Sun, Bin Li, Qiang Wang, Guihuan Feng
IJCNN
2007
IEEE
13 years 12 months ago
Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems
Abstract— Received Signal Strength (RSS) based location systems are potential candidates to enable indoor location aware services due to pervasively available wireless local area ...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...