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A theory of the learnable

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L. G. ValiantAuthors Info & Claims

Communications of the ACM, Volume 27, Issue 11

Pages 1134 - 1142

https://doi.org/10.1145/1968.1972

Published: 05 November 1984 Publication History

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References

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Angluin, D., Smith, C.H. Inductive inference: Theory and methods. Comput. Surv. 15, 3 (Sept. 1983), 237-269.

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Valiant, L.G. Deductive learning. Philosophical Transactions of the Royal Society of London (1984). To be published.

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Singh AEaswaran ADastani MSichman JAlechina NDignum V(2024)PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario OptimizationProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663036(1745-1753)Online publication date: 6-May-2024
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Figuera PGarcía Bringas P(2024)Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and InsightsTechnologies10.3390/technologies1201000512:1(5)Online publication date: 3-Jan-2024
https://doi.org/10.3390/technologies12010005
Sui QGhosh S(2024)Active Learning for Stacking and AdaBoost-Related ModelsStats10.3390/stats70100087:1(110-137)Online publication date: 24-Jan-2024
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Index Terms

A theory of the learnable
1. Computing methodologies
  1. Machine learning
    1. Learning settings
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

Communications of the ACM Volume 27, Issue 11

Nov. 1984

66 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1968

Editor:
Peter J. Denning
NASA Ames Research Center, Moffett Field, CA

Issue’s Table of Contents

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Association for Computing Machinery

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Publication History

Published: 05 November 1984

Published in CACM Volume 27, Issue 11

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Singh AEaswaran ADastani MSichman JAlechina NDignum V(2024)PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario OptimizationProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663036(1745-1753)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3663036
Figuera PGarcía Bringas P(2024)Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and InsightsTechnologies10.3390/technologies1201000512:1(5)Online publication date: 3-Jan-2024
https://doi.org/10.3390/technologies12010005
Sui QGhosh S(2024)Active Learning for Stacking and AdaBoost-Related ModelsStats10.3390/stats70100087:1(110-137)Online publication date: 24-Jan-2024
https://doi.org/10.3390/stats7010008
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Kyuchukov H(2024)Learnability Theory and Rural Roma Children’s Knowledge of Languages: An Empirical Psycholinguistic Comparative StudyPSYCHOLINGUISTICS10.31470/2309-1797-2024-35-1-108-13335:1(108-133)Online publication date: 16-Apr-2024
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From inductive inference to algorithmic learning theory

Non-U-shaped vacillatory and team learning

Quantum inductive inference by finite automata

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