Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Statistical Learning Theory
26.914
Zitationen
2
Autoren
1999
Jahr
Abstract
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
Ähnliche Arbeiten
A fast and elitist multiobjective genetic algorithm: NSGA-II
2002 · 46.404 Zit.
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
2018 · 37.832 Zit.
Adaptation in Natural and Artificial Systems
1992 · 35.517 Zit.
Reinforcement Learning: An Introduction
2005 · 25.701 Zit.
C4.5: Programs for Machine Learning
1992 · 23.665 Zit.