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dc.contributor.authorGARBOLINO Paoloen_GB
dc.date.accessioned2010-02-25T14:58:19Z-
dc.date.available1995-03-15en_GB
dc.date.available2010-02-25T14:58:19Z-
dc.date.issued1987en_GB
dc.date.submitted1987-11-13en_GB
dc.identifier.otherEUR 11385 ENen_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC5447-
dc.description.abstractTHE 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.sponsorshipNA-NOT AVAILABLEen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherCECen_GB
dc.relation.ispartofseriesJRC5447en_GB
dc.titleLecture Notes on Probabilistic Inferenceen_GB
dc.typeEUR - Scientific and Technical Research Reportsen_GB
JRC Directorate:Joint Research Centre Historical Collection

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