A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics

Show full item record

Title: A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics
Author: Kane, Michael; Sahin, Ferat; Savakis, Andreas
Abstract: This paper presents an efficient algorithm for learning a Bayesian belief network (BBN) structure from a database, as well as providing a comparison between two BBN structure fitness functions. A Bayesian belief network is a directed acyclic graph representing conditional expectations. In this paper, we propose a two-phase algorithm. The first phase uses asymptotically correct structure learning for efficient search space exploration, while the second phase uses greedy model selection for accurate search space exploration. The minimum description length (MDL) structure fitness function is also compared with the database given model probability (DGM) fitness function in the second phase. The model selection algorithms are applied to the ALARM network to provide a comparison for the accuracy of the techniques.
Description: "A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics," IEEE International Conference on Systems, Man and Cybernetics. Institute of Electrical and Electronics Engineers. Held in Washington, D.C.: 5-8 October 2003. ©2003 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Record URI: http://hdl.handle.net/1850/8891
Date: 2003-10-05

Files in this item

Files Size Format View
FSahinConfProc10-05-2003.pdf 452.0Kb PDF View/Open

The following license files are associated with this item:

This item appears in the following Collection(s)

Show full item record

Search RIT DML


Advanced Search

Browse