An open problem regarding the convergence of universal a priori probability

Marcus Hutter

doi:10.1007/978-3-540-45167-9_58

An open problem regarding the convergence of universal a priori probability

Marcus Hutter^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

Is the textbook result that Solomonoff's universal posterior converges to the true posterior for all Martin-Löf random sequences true?

Original language	English
Pages (from-to)	738-740
Number of pages	3
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2777
DOIs	https://doi.org/10.1007/978-3-540-45167-9_58
Publication status	Published - 2003
Externally published	Yes
Event	16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003 - Washington, DC, United States Duration: 24 Aug 2003 → 27 Aug 2003

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10.1007/978-3-540-45167-9_58

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title = "An open problem regarding the convergence of universal a priori probability",

abstract = "Is the textbook result that Solomonoff's universal posterior converges to the true posterior for all Martin-L{\"o}f random sequences true?",

author = "Marcus Hutter",

year = "2003",

doi = "10.1007/978-3-540-45167-9_58",

language = "English",

volume = "2777",

pages = "738--740",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Verlag",

note = "16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003 ; Conference date: 24-08-2003 Through 27-08-2003",

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AU - Hutter, Marcus

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N2 - Is the textbook result that Solomonoff's universal posterior converges to the true posterior for all Martin-Löf random sequences true?

AB - Is the textbook result that Solomonoff's universal posterior converges to the true posterior for all Martin-Löf random sequences true?

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DO - 10.1007/978-3-540-45167-9_58

M3 - Conference article

AN - SCOPUS:9444249812

SN - 0302-9743

VL - 2777

SP - 738

EP - 740

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003

Y2 - 24 August 2003 through 27 August 2003

ER -

An open problem regarding the convergence of universal a priori probability

Abstract

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