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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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CITED BY 7
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John Case , Sanjay Jain , Franco Montagna , Giulia Simi , Andrea Sorbi, On learning to coordinate: random bits help, insightful normal forms, and competency isomorphisms, Journal of Computer and System Sciences, v.71 n.3, p.308-332, October 2005
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INDEX TERMS
Primary Classification:
F.
Theory of Computation
F.1
COMPUTATION BY ABSTRACT DEVICES
F.1.3
Complexity Measures and Classes
Subjects:
Complexity hierarchies
Additional Classification:
F.
Theory of Computation
F.1
COMPUTATION BY ABSTRACT DEVICES
F.1.1
Models of Computation
Subjects:
Relations between models;
Automata (e.g., finite, push-down, resource-bounded);
Unbounded-action devices (e.g., cellular automata, circuits, networks of machines)
F.1.2
Modes of Computation
Subjects:
Probabilistic computation
F.4
MATHEMATICAL LOGIC AND FORMAL LANGUAGES
F.4.1
Mathematical Logic
Subjects:
Recursive function theory
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.6
Learning
Subjects:
Concept learning;
Induction
General Terms:
Algorithms,
Theory
Keywords:
Kolmogorov complexity,
inductive inference,
machine learning,
memory limited learning,
probabilistic automata,
pumping lemma,
recursion theorem
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