Learning probabilistic logic models from probabilistic examples-Reference-Cited by-同舟云学术

Learning probabilistic logic models from probabilistic examples

Published:2008-08-06 Issue:1 Volume:73 Page:55-85
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Chen Jianzhong,Muggleton Stephen,Santos José

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s10994-008-5076-4.pdf

Reference36 articles.

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3. Angelopoulos, N., & Cussens, J. (2006). Parameter estimation software implementing the f(ailure) a(adjusted) m(aximasation) algorithm for slps. http://scibsfs.bch.ed.ac.uk/~nicos/sware/slps/pe/ .

4. Arvanitis, A., Muggleton, S., Chen, J., & Watanabe, H. (2006). Abduction with stochastic logic programs based on a possible worlds semantics. In Short paper proceedings of the 16th international conference on inductive logic programming, University of Corunna.

5. Costa, V. S., Damas, L., Reis, R., & Azevedo, R. (2006). Yap Prolog user’s manual. http://www.ncc.up.pt/~vsc/Yap/ .

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