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» Foundations of Constraint Satisfaction
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SARA
2007
Springer
15 years 3 months ago
Reformulating Constraint Satisfaction Problems to Improve Scalability
Constraint Programming is a powerful approach for modeling and solving many combinatorial problems, scalability, however, remains an issue in . Abstraction and reformulation techni...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
COLING
2000
14 years 11 months ago
Planning texts by constraint satisfaction
A method is de.scribed by which a rhetoricalstructure tree can be realized by a text structure made up of sections, paragraphs, sentences, vertical lists, mid other textual patter...
Richard Power
DAGM
1993
Springer
15 years 1 months ago
Segmentation of Magnetic Resonance Brain Images using Analog Constraint Satisfaction Neural Networks
The Grey-White Decision Network (GWDN) is presented as an analog constraint satisfaction neural network that segments magnetic resonance brain images. Constraints on signal intens...
Andrew J. Worth, David N. Kennedy
CISSE
2009
Springer
15 years 1 months ago
Unbiased Statistics of a Constraint Satisfaction Problem - a Controlled-Bias Generator
: We show that estimating the complexity (mean and distribution) of the instances of a fixed size Constraint Satisfaction Problem (CSP) can be very hard. We deal with the main two ...
Denis Berthier
HIS
2004
14 years 11 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen