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» Object-Oriented Bayesian Networks
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115
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ITRE
2005
IEEE
15 years 6 months 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
129
Voted
AAAI
2004
15 years 1 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 4 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...
112
Voted
UAI
2000
15 years 1 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 1 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