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AAAI
1994
13 years 9 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
BMCBI
2008
114views more  BMCBI 2008»
13 years 8 months ago
WSPMaker: a web tool for calculating selection pressure in proteins and domains using window-sliding
Background: In the study of adaptive evolution, it is important to detect the protein coding sites where natural selection is acting. In general, the ratio of the rate of non-syno...
Yong Seok Lee, Tae-Hyung Kim, Tae-Wook Kang, Won-H...
AMC
2008
99views more  AMC 2008»
13 years 8 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
BPSC
2009
150views Business» more  BPSC 2009»
13 years 6 months ago
Evolution of Business Process Models and Languages
: "The only constant is change" is an often cited phrase. We regard it as predominant for the area of process based information systems. In this paper we investigate how ...
Stefan Jablonski, Bernhard Volz, Sebastian Dornsta...
VC
2008
88views more  VC 2008»
13 years 8 months ago
Evolution of T-spline level sets for meshing non-uniformly sampled and incomplete data
Given a large set of unorganized point sample data, we propose a new framework for computing a triangular mesh representing an approximating piecewise smooth surface. The data may ...
Huaiping Yang, Bert Jüttler