Approximation methods for efficient learning of Bayesian networks [electronic resource] / Carsten Riggelsen.

By: Riggelsen, CarstenContributor(s): ProQuest (Firm)Material type: TextTextSeries: Frontiers in artificial intelligence and applicationsDissertations in artificial intelligence | Frontiers in artificial intelligence and applications ; v. 168.Publication details: Amsterdam ; Washington, DC : IOS Press, c2008Description: vii, 137 p. : illSubject(s): Bayesian statistical decision theory | Machine learning | Neural networks (Computer science)Genre/Form: Electronic books.LOC classification: QA279.5 | .R54 2008Online resources: Click to View Dissertation note: Thesis (Ph.D.)--Utrecht University, 2006.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Thesis (Ph.D.)--Utrecht University, 2006.

Includes bibliographical references (p. [133]-137).

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

There are no comments on this title.

to post a comment.