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CIKM
1997
Springer
15 years 9 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
126
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CEC
2007
IEEE
15 years 9 months ago
Double-deck elevator systems using Genetic Network Programming with reinforcement learning
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...
Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jin...
ESWS
2004
Springer
15 years 8 months ago
Towards On-the-Fly Ontology Construction - Focusing on Ontology Quality Improvement
In order to realize the on-the-fly ontology construction for the Semantic Web, this paper proposes DODDLE-R, a support environment for user-centered ontology development. It consis...
Naoki Sugiura, Yoshihiro Shigeta, Naoki Fukuta, No...
COLT
2006
Springer
15 years 8 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
ICPR
2010
IEEE
15 years 6 months ago
Coarse-To-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices
Due to the widely spread mobile devices over the years, a low cost implementation of an efficient head tracking system is becoming more useful for a wide range of applications. In...
Hacheon Sung, Kwontaeg Choi, Hyeran Byun