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11 - Computer Science and Informatics

Queen Mary University of London

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Output 50 of 83 in the submission

Article title

Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization

Type

D - Journal article

DOI

10.1109/TKDE.2011.87

Title of journal

IEEE Transactions on Knowledge and Data Engineering

Article number

12852804

Volume number

Issue number

First page of article

1306

ISSN of journal

1041-4347

Year of publication

2012

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5740894

Number of additional authors

Additional information

<13>This work extends the applicability of Bayesian Networks with both discrete and continuous variables by developing a new method for optimizing the calculation of conditional probability tables (CPTs) involving continuous nodes, using binary factorization of the arithmetical expressions declared to generate the CPTs for continuous nodes for deterministic functions and statistical distributions. This algorithm has now been included in the commercial BN package, AgenaRisk, for release alongside our major new textbook in the area. This work is also proving a crucial foundation for our current research into actuarial modelling of financial portfolios of causally dependent assets.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract