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» An ACO Algorithm for the Most Probable Explanation Problem
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FLAIRS
2006
13 years 8 months ago
Which Dynamic Constraint Problems Can Be Solved By Ants?
There exist a number of algorithms that can solve dynamic constraint satisfaction/optimization problems (DynCSPs or DynCOPs). Because of the large variety in the characteristics o...
Koenraad Mertens, Tom Holvoet, Yolande Berbers
SYNASC
2005
IEEE
133views Algorithms» more  SYNASC 2005»
14 years 19 days ago
Emotional Ant Based Modeling of Crowd Dynamics
It is known that one of the most disastrous forms of collective human behavior is the kind of crowd stampede induced by panic. This situation often leads to fatalities as people a...
Soumya Banerjee, Crina Grosan, Ajith Abraham
MICCAI
2007
Springer
14 years 8 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
FOCS
1989
IEEE
13 years 11 months ago
Constant Depth Circuits, Fourier Transform, and Learnability
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
Nathan Linial, Yishay Mansour, Noam Nisan
AI
2003
Springer
14 years 9 days ago
Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT
Abstract. In this paper, we study the behaviour of the Scaling and Probabilistic Smoothing (SAPS) dynamic local search algorithm on the unweighted MAXSAT problem. MAX-SAT is a conc...
Dave A. D. Tompkins, Holger H. Hoos