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From the same journal

Distributional logic programming for Bayesian knowledge representation

Research output: Contribution to journalArticle

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Distributional logic programming for Bayesian knowledge representation. / Angelopoulos, Nikolaos; Cussens, James.

In: International Journal of Approximate Reasoning, Vol. 80, 17.08.2016, p. 52-66.

Research output: Contribution to journalArticle

Harvard

Angelopoulos, N & Cussens, J 2016, 'Distributional logic programming for Bayesian knowledge representation', International Journal of Approximate Reasoning, vol. 80, pp. 52-66. https://doi.org/10.1016/j.ijar.2016.08.004

APA

Angelopoulos, N., & Cussens, J. (2016). Distributional logic programming for Bayesian knowledge representation. International Journal of Approximate Reasoning, 80, 52-66. https://doi.org/10.1016/j.ijar.2016.08.004

Vancouver

Angelopoulos N, Cussens J. Distributional logic programming for Bayesian knowledge representation. International Journal of Approximate Reasoning. 2016 Aug 17;80:52-66. https://doi.org/10.1016/j.ijar.2016.08.004

Author

Angelopoulos, Nikolaos ; Cussens, James. / Distributional logic programming for Bayesian knowledge representation. In: International Journal of Approximate Reasoning. 2016 ; Vol. 80. pp. 52-66.

Bibtex - Download

@article{8a46b5cb143a4c469abb7d25c3f69da2,
title = "Distributional logic programming for Bayesian knowledge representation",
author = "Nikolaos Angelopoulos and James Cussens",
note = "{\textcopyright} 2016 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details ",
year = "2016",
month = aug,
day = "17",
doi = "10.1016/j.ijar.2016.08.004",
language = "English",
volume = "80",
pages = "52--66",
journal = "International Journal of Approximate Reasoning",
issn = "0888-613X",
publisher = "Elsevier Inc.",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Distributional logic programming for Bayesian knowledge representation

AU - Angelopoulos, Nikolaos

AU - Cussens, James

N1 - © 2016 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

PY - 2016/8/17

Y1 - 2016/8/17

UR - http://www.sciencedirect.com/science/article/pii/S0888613X16301232

U2 - 10.1016/j.ijar.2016.08.004

DO - 10.1016/j.ijar.2016.08.004

M3 - Article

VL - 80

SP - 52

EP - 66

JO - International Journal of Approximate Reasoning

JF - International Journal of Approximate Reasoning

SN - 0888-613X

ER -