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Linear relations between square-loss and Kolmogorov complexity
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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the twelfth annual conference on Computational learning theory table of contents
Santa Cruz, California, United States
Pages: 226 - 232  
Year of Publication: 1999
ISBN:1-58113-167-4
Author
Yuri Kalnishkan  Department of Computer Science, Royal Holloway University of London, Egham Surrey TW20 0EX, United Kingdom
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Univ. of California, : University of California at Santa Cruz
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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V. Vovk and A. Gammerman. Complexity eValuation principle. Technical report, Royal Holloway, University of London, 1999.
 
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V.V. V'yugin. Algorithmic entropy (complexity) of finite objects and its applications to defining randomness and amount of information. Selecta Mathematica formerly Sovietica, 13:357-389, 1994.
 
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A.K. Zvonkin and L. A. Levin. The complexity of finite objects and the development of the concepts of information and randomness by means of the theory of algorithms. Russian Math. Surveys, 25:83-124, 1970.