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Algorithmic Complexity and Information Theory
Anais do Congresso de Iniciação Científica da Unicamp, 2015Romis Attux, Patrick Franco Coutinho
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An Algorithmic Approach to Information Theory
1974Classical probability theory is based on the well known axioms of Kolmogoroff. A characteristic difficulty of this measure-theoretic approach is the physical interpretation of probability: we can observe only the frequency of events and the order in which they occur, not however the probability in the axiomatic sense.
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Robustness of statistical mechanical interpretation of algorithmic information theory
2011 IEEE Information Theory Workshop, 2011K. Tadaki
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Information, Randomness & Incompleteness - Papers on Algorithmic Information Theory - Second Edition
, 1997G. Chaitin
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Blind source separation using algorithmic information theory
Neurocomputing, 1998P. Pajunen
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Nuclear effective field theory: Status and perspectives
Reviews of Modern Physics, 2020Hans-Werner Hammer +2 more
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A new era of cancer immunotherapy: converting theory to performance
Ca-A Cancer Journal for Clinicians, 1999Steven A Rosenberg
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A note on monte carlo primality tests and algorithmic information theory
, 1978G. Chaitin, J. Schwartz
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Theory-guided design of catalytic materials using scaling relationships and reactivity descriptors
Nature Reviews Materials, 2019Zhi-Jian Zhao, Sihang Liu, Shenjun Zha
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