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» A Bayesian Approach to Tackling Hard Computational Problems
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AI
2005
Springer
13 years 9 months ago
Incorporating Evidence in Bayesian Networks with the Select Operator
Abstract. In this paper, we propose that the select operator in relational databases be adopted for incorporating evidence in Bayesian networks. This approach does not involve the ...
Cory J. Butz, F. Fang
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
A memetic algorithm for the low autocorrelation binary sequence problem
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
José E. Gallardo, Carlos Cotta, Antonio J. ...
COMGEO
2010
ACM
13 years 4 months ago
Implementing a Bayesian approach to criminal geographic profiling
The geographic profiling problem is to create an operationally useful estimate of the location of the home base of a serial criminal from the known locations of the offense sites....
Mike O'Leary
ICANN
2005
Springer
14 years 29 days ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
NC
2002
210views Neural Networks» more  NC 2002»
13 years 7 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis