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» An Algorithm for Knowledge Base Extraction
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EUSFLAT
2001
115views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions
When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing ea...
Jorge Casillas, Oscar Cordón, Francisco Her...
ICCV
2003
IEEE
15 years 3 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
IPMU
2010
Springer
14 years 8 months ago
Keeping Secrets in Possibilistic Knowledge Bases with Necessity-Valued Privacy Policies
Controlled Query Evaluation (CQE) is a logical framework for the protection of secrets in databases. In this article, we extend the CQE framework to possibilistic logic: knowledge ...
Lena Wiese
ACSW
2004
14 years 11 months ago
Early Assessment of Classification Performance
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
CLEIEJ
2008
82views more  CLEIEJ 2008»
14 years 10 months ago
Postal Envelope Segmentation using Learning-Based Approach
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
Horacio Andrés Legal-Ayala, Jacques Facon, ...