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ICDAR
2003
IEEE
15 years 3 months ago
Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
Sung-Jung Cho, Jin Hyung Kim
BMCBI
2008
201views more  BMCBI 2008»
14 years 10 months ago
A copula method for modeling directional dependence of genes
Background: Genes interact with each other as basic building blocks of life, forming a complicated network. The relationship between groups of genes with different functions can b...
Jong-Min Kim, Yoon-Sung Jung, Engin A. Sungur, Kap...
IJCNN
2008
IEEE
15 years 4 months ago
A comparison of bayesian and conditional density models in probabilistic ozone forecasting
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
Song Cai, William W. Hsieh, Alex J. Cannon
CORR
2010
Springer
132views Education» more  CORR 2010»
14 years 10 months ago
Bayesian Network Based XP Process Modelling
A Bayesian Network based mathematical model has been used for modelling Extreme Programming software development process. The model is capable of predicting the expected finish ti...
Mohamed Abouelela, Luigi Benedicenti
FLAIRS
2008
15 years 5 days ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar