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ECAI
2004
Springer
15 years 11 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
ITC
2003
IEEE
114views Hardware» more  ITC 2003»
15 years 11 months ago
Test-Based Model Generation For Legacy Systems
We study the extension of applicability of system-level testing techniques to the construction of a consistent model of (legacy) systems under test, which are seen as black boxes....
Hardi Hungar, Tiziana Margaria, Bernhard Steffen
164
Voted
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 11 months ago
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Allan Tucker, Xiaohui Liu, David Garway-Heath
FGR
2000
IEEE
147views Biometrics» more  FGR 2000»
15 years 10 months ago
Hallucinating Faces
In this paper, we study face hallucination or synthesizing a high-resolution face image from a low-resolution input, with the help of a large collection of other highresolution fa...
Simon Baker, Takeo Kanade
COLT
1992
Springer
15 years 10 months ago
Polynomial Time Inference of a Subclass of Context-Free Transformations
This paper deals with a class of Prolog programs, called context-free term transformations (CFT). We present a polynomial time algorithm to identify a subclass of CFT, whose progr...
Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara