In computer science, computational learning theory is a subfield of artificial intelligence devoted to studying the design and mathematical analysis of machine learning algorithms.
Facts
Core ConcernStudying the design and mathematical analysis of machine learning algorithms. 2 Connections
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Source Probably Approximately Correct Learning (Wikipedia)
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Source Wikipedia: Alexey Chervonenkis
Source David Haussler (Wikipedia)
Source Wikipedia: E. Mark Gold
Source Manfred K. Warmuth (Wikipedia)
Source Minimum description length (Wikipedia)
Sources
1. Probably Approximately Correct Learning (Wikipedia)
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It was proposed in 1984 by Leslie Valiant.
View the Source 2. Wikipedia: Computational learning theory
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In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms.
- In Group: Models of Computation and Learning, lead section
View the Source Wikipedia: E. Mark Gold
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Language identification in the limit
View the Source David Haussler (Wikipedia)
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developments in computational learning theory and bioinformatics
View the Source Minimum description length (Wikipedia)
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MDL has its origins mostly in information theory and has been further developed within the general fields of statistics, theoretical computer science and machine learning, and more narrowly computational learning theory.
View the Source Manfred K. Warmuth (Wikipedia)
Wikipedia: Alexey Chervonenkis
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