Simplifying learning in non-repetitive dynamic Bayesian networks

I. Flesch; E.O. Postma

doi:10.1007/978-3-642-02906-6

Simplifying learning in non-repetitive dynamic Bayesian networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 10th European Conference, ECSQARU 2009, Verona, Italy
Editors	C. Sossai, G. Chemello
Place of Publication	Berlin/Heidelberg
Publisher	Springer
Pages	216-227
Volume	5590
ISBN (Print)	9783642029059
DOIs	https://doi.org/10.1007/978-3-642-02906-6
Publication status	Published - 2009

Publication series

Name	Lecture Notes in Computer Science
Volume	5590

Access to Document

10.1007/978-3-642-02906-6

Cite this

Flesch, I., & Postma, E. O. (2009). Simplifying learning in non-repetitive dynamic Bayesian networks. In C. Sossai, & G. Chemello (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 10th European Conference, ECSQARU 2009, Verona, Italy (Vol. 5590, pp. 216-227). (Lecture Notes in Computer Science; Vol. 5590). Springer. https://doi.org/10.1007/978-3-642-02906-6

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Flesch, I & Postma, EO 2009, Simplifying learning in non-repetitive dynamic Bayesian networks. in C Sossai & G Chemello (eds), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 10th European Conference, ECSQARU 2009, Verona, Italy. vol. 5590, Lecture Notes in Computer Science, vol. 5590, Springer, Berlin/Heidelberg, pp. 216-227. https://doi.org/10.1007/978-3-642-02906-6

Simplifying learning in non-repetitive dynamic Bayesian networks. / Flesch, I.; Postma, E.O.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 10th European Conference, ECSQARU 2009, Verona, Italy. ed. / C. Sossai; G. Chemello. Vol. 5590 Berlin/Heidelberg: Springer, 2009. p. 216-227 (Lecture Notes in Computer Science; Vol. 5590).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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