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Algorithmically random sequence
Known as:
Martin-Löf randomness
, Algorithmically random
, Martin-Loef random
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Intuitively, an algorithmically random sequence (or random sequence) is an infinite sequence of binary digits that appears random to any algorithm…
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Related topics
Related topics
23 relations
Algorithmic information theory
Arithmetical hierarchy
Chaitin's constant
Church–Turing thesis
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Broader (1)
Randomness
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Granularity of wagers in games and the (im)possibility of savings
George Barmpalias
,
Nan Fang
arXiv.org
2018
Corpus ID: 52979196
In a casino where arbitrarily small bets are admissible, any betting strategy $M$ can be modified into a savings strategy that…
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2018
2018
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms
H. Zenil
,
N. Kiani
,
J. Tegnér
arXiv.org
2018
Corpus ID: 29169814
Reprogramming a generative mechanism to produce a different object is associated with a cost. Here we use the notion of…
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2016
2016
ON ANALOGUES OF THE CHURCH–TURING THESIS IN ALGORITHMIC RANDOMNESS
Christopher P. Porter
The Review of Symbolic Logic
2016
Corpus ID: 16249836
Abstract In this article, I consider the status of several statements analogous to the Church–Turing thesis that assert that some…
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2009
2009
Some problems of algorithmic randomness on product space (The 8th Workshop on Stochastic Numerics)
Hayato Takahashi
2009
Corpus ID: 119043328
Review
2008
Review
2008
Law of Excluded Quantum Gambling Strategies
Universitá Di Pavia
,
Italia
2008
Corpus ID: 17884828
We introduce and analyze a quantum analogue of the Law of Excluded Gambling Strategies of Classical Decision Theory by the…
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2006
2006
Similarity Searching in DNA Sequences by Spectral Distortion Measures
Tuan D. Pham
Industrial Conference on Data Mining
2006
Corpus ID: 30198932
Searching for similarity among biological sequences is an important research area of bioinformatics because it can provide…
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2003
2003
Independence Properties of Algorithmically Random Sequences
Steven M. Kautz
arXiv.org
2003
Corpus ID: 14707571
A bounded Kolmogorov-Loveland selection rule is an adaptive strategy for recursively selecting a subsequence of an infinite…
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2001
2001
On Algorithmic Unsolvability
S. Lavrov
Ershov Memorial Conference
2001
Corpus ID: 1856800
Many computational problems are algorithmically unsolvable. How well this fundamental assertion of computability theory is based…
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1996
1996
Spectral quantities associated to pairs of matrices are hard, when not impossible, to compute and to approximate
J. Tsitsiklis
,
V. Blondel
,
Decision Systems.
1996
Corpus ID: 15260712
Spectral quantities associated to pairs of matrices are hard-when not impossible-to compute and to approximate* Abstract We…
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1994
1994
On Languages Reducible to Algorithmically Random Languages
R. V. Book
SIAM journal on computing (Print)
1994
Corpus ID: 27716580
In this paper languages "bounded reducible" to algorithmically random languages are studied; these are the languages whose…
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