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Gibbs states and the set of solutions of random constraint satisfaction problems
Gibbs random constraints the solution
2015/8/21
Gibbs states and the set of solutions of random constraint satisfaction problems.
Reconstruction and Clustering in Random Constraint Satisfaction Problems
Random quantity structure solution space threshold
2015/8/20
Random instances of Constraint Satisfaction Problems (CSP’s) appear to be hard for all known algorithms, when the number of constraints per variable lies in a certain interval. Contributing to the gen...
Interactive Activation and Mutual Constraint Satisfaction in Perception and Cognition
Perception Interactive activation Parallel distributed processing Connectionist models Optimal perceptual inference Neural networks
2015/6/23
In a seminal 1977 article, Rumelhart argued that perception required the simultaneous use of multiple sources of information, allowing perceivers to optimally interpret sensory information at many lev...
Learning the Structure of Bayesian Networks with Constraint Satisfaction
Bayesian networks Constraint satisfaction Constraint-based Structure learning
2014/12/18
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...
Geometric constraint satisfaction using optimization methods
Parametric design Optimization method Variational geometry
2013/9/9
The numerical approach to solving geometric constraint problems is indispensable for building a practical CAD system. The most commonly-used numerical method is the Newton–Raphson method. It is fast, ...