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WCRE
2008
IEEE
14 years 2 months ago
A Bayesian Network Based Approach for Change Coupling Prediction
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sourc...
Yu Zhou, Michael Würsch, Emanuel Giger, Haral...
AGI
2011
12 years 11 months ago
Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks
Abstract. A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian networ...
Elias Ruiz, Augusto Meléndez, Luis Enrique ...
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
14 years 2 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 7 months ago
Bayesian Optimisation Algorithm for Nurse Scheduling
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
Jingpeng Li, Uwe Aickelin