Large margin vs. large volume in transductive learning

DOI10.1007/s10994-008-5071-9zbMath1464.68309OpenAlexW2156925633MaRDI QIDQ2036258

Dmitry Pechyony, Vladimir Vapnik, Ran El-Yaniv

Publication date: 28 June 2021

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5071-9

zbMATH Keywords

transductive learninglarge marginlarge volumelearning principlesTSVM

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• COIL-100

Cites Work

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• Matrix multiplication via arithmetic progressions
• A constrained eigenvalue problem
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Simulated annealing in convex bodies and an \(O^{*}(n^{4}\)) volume algorithm
• 10.1162/153244302760185243
• 10.1162/153244302760200704
• Transductive Rademacher Complexity and Its Applications
• On the Stationary Values of a Second-Degree Polynomial on the Unit Sphere

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