A Generalized Model of PAC Learning and its Applicability

DOI10.1051/ITA/2014005zbMATH Open1366.68231OpenAlexW2086914805MaRDI QIDQ5166506

Stephan Waack, Thomas Brodag, Steffen Herbold

Publication date: 27 June 2014

Published in: RAIRO - Theoretical Informatics and Applications (Search for Journal in Brave)

Full work available at URL: http://www.numdam.org/item?id=ITA_2014__48_2_209_0/

zbMATH Keywords

bioinformaticssoftware engineeringstatistical queriesMammen-Tsybakov small margin conditionsnoise model orthogonal to a set of query functionsPAC learning with classification noise

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30) Computational methods for problems pertaining to biology (92-08)

Related Items (4)

PAC learning with simple examples ⋮ PAC-learning with approximate predictors ⋮ The Myth of Generic DPA…and the Magic of Learning ⋮ Title not available (Why is that?)

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