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KDD
1995
ACM
112views Data Mining» more  KDD 1995»
14 years 26 days ago
Learning First Order Logic Rules with a Genetic Algorithm
This paper introduces a newalgorithm called SIAO1 for learning first order logic rules withgenetic algorithms. SIAO1uses the covering principle developed in AQwhereseed examplesar...
Sébastien Augier, Gilles Venturini, Yves Ko...
ISMDA
2001
Springer
14 years 1 months ago
Learning Bayesian-Network Topologies in Realistic Medical Domains
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
ICPR
2002
IEEE
14 years 10 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
SOFSEM
1997
Springer
14 years 1 months ago
Algorithms for Triangulated Terrains
Digital elevation models can represent many types of geographic data. One of the common digital elevation models is the triangulated irregular network also called TIN, or polyhed...
Marc J. van Kreveld
SIBGRAPI
2006
IEEE
14 years 3 months ago
Determining the branchings of 3D structures from respective 2D projections
This work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of met...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...