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A View of Computational Learning Theory
, 1993The distribution-free or “pac” approach to machine learning is described. The motivations, basic definitions and some of the more important results in this theory are summarized.
L. Valiant
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Bridging the complexity gap in computational heterogeneous catalysis with machine learning
Nature Catalysis, 2023Tianyou Mou +7 more
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Lecture Notes in Computer Science, 2002
Jyrki Kivinen, Robert H. Sloan
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Jyrki Kivinen, Robert H. Sloan
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Science Advances, 2022
It is unclear to what extent quantum algorithms can outperform classical algorithms for problems of combinatorial optimization. In this work, by resorting to computational learning theory and cryptographic notions, we give a fully constructive proof that
N. Pirnay +4 more
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It is unclear to what extent quantum algorithms can outperform classical algorithms for problems of combinatorial optimization. In this work, by resorting to computational learning theory and cryptographic notions, we give a fully constructive proof that
N. Pirnay +4 more
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Computational learning theory and natural learning systems
, 1997S. Hanson, R. Greiner, T. Petsche
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Computational Grounded Theory: A Methodological Framework
Sociological Methods and Research, 2020Laura K. Nelson
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2021
As the name suggests, computational learning theory is about ‘‘learning”’ by ‘‘computation” and is the theoretical foundation of machine learning. It aims to analyze the difficulties of learning problems, provides theoretical guarantees for learning algorithms, and guides the algorithm design based on theoretical analysis.
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As the name suggests, computational learning theory is about ‘‘learning”’ by ‘‘computation” and is the theoretical foundation of machine learning. It aims to analyze the difficulties of learning problems, provides theoretical guarantees for learning algorithms, and guides the algorithm design based on theoretical analysis.
openaire +1 more source
Fundamental principals of Computational Learning Theory
2016 International Conference on Emerging eLearning Technologies and Applications (ICETA), 2016This paper presents some major key points of Computational Learning Theory, which describes fundamental building blocks of a mathematical formal representation of a cognitive process. The excerpt of the theory outlines and pinpoints the importance of having a distribution-free model that represents a learning process implementation for text ...
M. Krendzelak, F. Jakab
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Computational machine learning in theory and praxis
1995In the last few decades a computational approach to machine learning has emerged based on paradigms from recursion theory and the theory of computation. Such ideas include learning in the limit, learning by enumeration, and probably approximately correct (pac) learning. These models usually are not suitable in practical situations.
Li, M., Vitanyi, P.M.B.
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