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  Minimum Cross-Entropy Reasoning: A Statistical Justification

Jaeger, M. (1995). Minimum Cross-Entropy Reasoning: A Statistical Justification. In C. S. Mellish (Ed.), Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95) (pp. 1847-1852). San Francisco, USA: Morgan Kaufmann.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-AD0C-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-AD0D-1
Genre: Conference Paper

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 Creators:
Jaeger, Manfred1, Author           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: Degrees of belief are formed using observed evidence and statistical background information. In this paper we examine the process of how prior degrees of belief derived from the evidence are combined with statistical data to form more specific degrees of belief. A statistical model for this process then is shown to vindicate the cross-entropy minimization principle as a rule for probabilistic default-inference.

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Language(s): eng - English
 Dates: 2010-03-121995
 Publication Status: Issued
 Pages: -
 Publishing info: San Francisco, USA : Morgan Kaufmann
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 519503
Other: Local-ID: C1256104005ECAFC-3D489449B2A29C60C12562D70061A2A8-Jaeger95
 Degree: -

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Title: Untitled Event
Place of Event: Montréal, Canada
Start-/End Date: 1995

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Title: Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95)
Source Genre: Proceedings
 Creator(s):
Mellish, Chris S., Editor
Affiliations:
-
Publ. Info: San Francisco, USA : Morgan Kaufmann
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1847 - 1852 Identifier: -