Lecture Notes on Probabilistic Inference

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DC Field	Value	Language
dc.contributor.author	GARBOLINO Paolo	en_GB
dc.date.accessioned	2010-02-25T14:58:19Z	-
dc.date.available	1995-03-15	en_GB
dc.date.available	2010-02-25T14:58:19Z	-
dc.date.issued	1987	en_GB
dc.date.submitted	1987-11-13	en_GB
dc.identifier.other	EUR 11385 EN	en_GB
dc.identifier.uri	http://publications.jrc.ec.europa.eu/repository/handle/JRC5447	-
dc.description.abstract	THE MATHEMATICAL THEORY OF PROBABILITY, UNDER THE SO-CALLED BAYESIAN OR SUBJECTIVISTIC INTERPRETATION, IS TODAY UNDERSTOOD TO BE THE LOGIC OF DECISION-MAKING UNDER UNCERTAINTY. THESE NOTES AIM TO GIVE AN OVERVIEW OF THE MOST RECENT DEVELOPMENTS IN THIS UNDERSTANDING OF PROBABILITY THEORY, WITH PARTICULAR ATTENTION GIVEN TO THE PROBLEM OF ITS APPLICABILITY IN A.I.	en_GB
dc.description.sponsorship	NA-NOT AVAILABLE	en_GB
dc.format.medium	Printed	en_GB
dc.language	ENG	en_GB
dc.publisher	CEC	en_GB
dc.relation.ispartofseries	JRC5447	en_GB
dc.title	Lecture Notes on Probabilistic Inference	en_GB
dc.type	EUR - Scientific and Technical Research Reports	en_GB
JRC Directorate:	Joint Research Centre Historical Collection

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