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ITRE
2005
IEEE
16 years 8 days ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
AAAI
2004
15 years 8 months ago
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
Franz Pernkopf
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
UAI
2000
15 years 8 months ago
Dynamic Bayesian Multinets
In this work, dynamic Bayesian multinets are introduced where a Markov chain state at time
Jeff Bilmes
UAI
1996
15 years 8 months ago
Network Engineering for Complex Belief Networks
Developing a large belief network, like any large system, requires systems engineering to manage the design and construction process. We propose that network engineering follow a ...
Suzanne M. Mahoney, Kathryn B. Laskey