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Empirical Inference

Empirical Inference

Festschrift in Honor of Vladimir N. Vapnik
MathematicsScience
Pages
287
Published
2013
Language
German

Synopsis

This book celebrates the groundbreaking work of Vladimir Vapnik, a pioneer in statistical learning theory and empirical inference. It details his journey from analyzing learning algorithms in the 1960s to inventing the support vector machine (SVM), a new approach to machine learning. The volume includes a seminal 1968 paper by Vapnik and Chervonenkis, its English translation, and a first-hand account of the SVM's early development. Leading scientists contribute further chapters on related topics in statistics, theoretical computer science, and mathematics.

Prose complexity
10/10

Vibe

InformativeIntellectualComplexThought-Provoking
Mentor Figure

Genres

Mathematics Science Technology

Authors

V
Vladimir Vovk

Vladimir Vovk is a distinguished author specializing in statistical learning, probability, and algorithmic complexity. His notable works include Measures of Complexity, Statistical Learning and Data Sciences, and Algorithmic Learning in a Random World. Vovk also explores game theory in Game-Theoretic Foundations for Probability and Finance.