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» Extracting MUCs from Constraint Networks
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NN
2002
Springer
114views Neural Networks» more  NN 2002»
13 years 7 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
IFIP
2010
Springer
13 years 2 months ago
Modular Plans for Secure Service Composition
Service Oriented Computing (SOC) is a programming paradigm aiming at characterising Service Networks. Services are entities waiting for clients requests and they often result from ...
Gabriele Costa, Pierpaolo Degano, Fabio Martinelli
NN
2006
Springer
13 years 7 months ago
Machine learning in soil classification
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
Biswanath Bhattacharya, Dimitri P. Solomatine
ICPR
2002
IEEE
14 years 8 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
CP
2000
Springer
13 years 12 months ago
New Search Heuristics for Max-CSP
Abstract. This paper evaluates the power of a new scheme that generates search heuristics mechanically. This approach was presented and evaluated rst in the context of optimization...
Kalev Kask