Approximation methods for efficient learning of Bayesian networks / Carsten Riggelsen.

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Bibliographic Details
Superior document:Frontiers in artificial intelligence and applications ; v. 168
:
TeilnehmendeR:
Year of Publication:2008
Language:English
Series:Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence.
Frontiers in artificial intelligence and applications ; v. 168.
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Physical Description:vii, 137 p. :; ill.
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100 1 |a Riggelsen, Carsten. 
245 1 0 |a Approximation methods for efficient learning of Bayesian networks  |h [electronic resource] /  |c Carsten Riggelsen. 
260 |a Amsterdam ;  |a Washington, DC :  |b IOS Press,  |c c2008. 
300 |a vii, 137 p. :  |b ill. 
490 1 |a Frontiers in artificial intelligence and applications ;  |v v. 168 
490 1 |a Dissertations in artificial intelligence 
502 |a Thesis (Ph.D.)--Utrecht University, 2006. 
504 |a Includes bibliographical references (p. [133]-137). 
533 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 
650 0 |a Bayesian statistical decision theory. 
650 0 |a Machine learning. 
650 0 |a Neural networks (Computer science) 
655 4 |a Electronic books. 
710 2 |a ProQuest (Firm) 
830 0 |a Frontiers in artificial intelligence and applications.  |p Dissertations in artificial intelligence. 
830 0 |a Frontiers in artificial intelligence and applications ;  |v v. 168. 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=334196  |z Click to View