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Documents authored by Vitanyi, Paul M.B.


Found 2 Possible Name Variants:

Vitanyi, Paul M.B.

Document
06051 Abstracts Collection – Kolmogorov Complexity and Applications

Authors: Marcus Hutter, Wolfgang Merkle, and Paul M.B. Vitanyi

Published in: Dagstuhl Seminar Proceedings, Volume 6051, Kolmogorov Complexity and Applications (2006)


Abstract
From 29.01.06 to 03.02.06, the Dagstuhl Seminar 06051 ``Kolmogorov Complexity and Applications'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Marcus Hutter, Wolfgang Merkle, and Paul M.B. Vitanyi. 06051 Abstracts Collection – Kolmogorov Complexity and Applications. In Kolmogorov Complexity and Applications. Dagstuhl Seminar Proceedings, Volume 6051, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{hutter_et_al:DagSemProc.06051.1,
  author =	{Hutter, Marcus and Merkle, Wolfgang and Vitanyi, Paul M.B.},
  title =	{{06051 Abstracts Collection – Kolmogorov Complexity and Applications}},
  booktitle =	{Kolmogorov Complexity and Applications},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6051},
  editor =	{Marcus Hutter and Wolfgang Merkle and Paul M.B. Vitanyi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06051.1},
  URN =		{urn:nbn:de:0030-drops-6632},
  doi =		{10.4230/DagSemProc.06051.1},
  annote =	{Keywords: Information theory, Kolmogorov Complexity, effective randomnes, algorithmic probability, recursion theory, computational complexity, machine learning knowledge discovery}
}
Document
Automatic Meaning Discovery Using Google

Authors: Rudi Cilibrasi and Paul M.B. Vitanyi

Published in: Dagstuhl Seminar Proceedings, Volume 6051, Kolmogorov Complexity and Applications (2006)


Abstract
We survey a new area of parameter-free similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extraction. Given a family of distances on a set of objects, a distance is universal up to a certain precision for that family if it minorizes every distance in the family between every two objects in the set, up to the stated precision (we do not require the universal distance to be an element of the family). We consider similarity distances for two types of objects: literal objects that as such contain all of their meaning, like genomes or books, and names for objects. The latter may have literal embodyments like the first type, but may also be abstract like ``red'' or ``christianity.'' For the first type we consider a family of computable distance measures corresponding to parameters expressing similarity according to particular features between pairs of literal objects. For the second type we consider similarity distances generated by web users corresponding to particular semantic relations between the (names for) the designated objects. For both families we give universal similarity distance measures, incorporating all particular distance measures in the family. In the first case the universal distance is based on compression and in the second case it is based on Google page counts related to search terms. In both cases experiments on a massive scale give evidence of the viability of the approaches.

Cite as

Rudi Cilibrasi and Paul M.B. Vitanyi. Automatic Meaning Discovery Using Google. In Kolmogorov Complexity and Applications. Dagstuhl Seminar Proceedings, Volume 6051, pp. 1-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{cilibrasi_et_al:DagSemProc.06051.3,
  author =	{Cilibrasi, Rudi and Vitanyi, Paul M.B.},
  title =	{{Automatic Meaning Discovery Using Google}},
  booktitle =	{Kolmogorov Complexity and Applications},
  pages =	{1--23},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6051},
  editor =	{Marcus Hutter and Wolfgang Merkle and Paul M.B. Vitanyi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06051.3},
  URN =		{urn:nbn:de:0030-drops-6296},
  doi =		{10.4230/DagSemProc.06051.3},
  annote =	{Keywords: Normalized Compression Distance, Clustering, Clasification, Relative Semantics of Terms, Google, World-Wide-Web, Kolmogorov complexity}
}

Vitanyi, Paul M. B.

Document
Centennial Seminar on Kolmogorov Complexity and Applications (Dagstuhl Seminar 03181)

Authors: Bruno Durand, Leonid A. Levin, Wolfgang Merkle, Alexander Shen, and Paul M. B. Vitanyi

Published in: Dagstuhl Seminar Reports. Dagstuhl Seminar Reports, Volume 1 (2021)


Abstract

Cite as

Bruno Durand, Leonid A. Levin, Wolfgang Merkle, Alexander Shen, and Paul M. B. Vitanyi. Centennial Seminar on Kolmogorov Complexity and Applications (Dagstuhl Seminar 03181). Dagstuhl Seminar Report 377, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2003)


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@TechReport{durand_et_al:DagSemRep.377,
  author =	{Durand, Bruno and Levin, Leonid A. and Merkle, Wolfgang and Shen, Alexander and Vitanyi, Paul M. B.},
  title =	{{Centennial Seminar on Kolmogorov Complexity and Applications (Dagstuhl Seminar 03181)}},
  pages =	{1--6},
  ISSN =	{1619-0203},
  year =	{2003},
  type = 	{Dagstuhl Seminar Report},
  number =	{377},
  institution =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemRep.377},
  URN =		{urn:nbn:de:0030-drops-152578},
  doi =		{10.4230/DagSemRep.377},
}
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