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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 10 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
HUC
2004
Springer
15 years 9 months ago
CAMP: A Magnetic Poetry Interface for End-User Programming of Capture Applications for the Home
As the trend towards technology-enriched home environments progresses, the need to enable users to create applications to suit their own lives increases. While several recent proje...
Khai N. Truong, Elaine M. Huang, Gregory D. Abowd
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 9 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 9 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
FLAIRS
2008
15 years 6 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson