Measures of Complexity
Festschrift for Alexey Chervonenkis
Buch in deiner Nähe kaufen
Beschreibung
This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of machine learning, statistical inference, classification, algorithmic statistics, and pattern recognition.
The contributors are leading scientists in domains such as statistics, mathematics, and theoretical computer science, and the book will be of interest to researchers and graduate students in these domains.
This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of machine learning, statistical inference, classification, algorithmic statistics, and pattern recognition.
The contributors are leading scientists in domains such as statistics, mathematics, and theoretical computer science, and the book will be of interest to researchers and graduate students in these domains.
Alexey Chervonenkis made an outstanding contribution to the areas of pattern recognition and computational learning Valuable for researchers and graduate students Contributors are leading scientists in statistics, theoretical computer science, and mathematics Includes supplementary material: sn.pub/extras
Autor*in
Vladimir Vovk
Themen in »Measures of Complexity«
Algorithmic statistics Bayesian theory Causal inference Communicaton complexity Computational complexity Kernels Kolmogorov complexity Machine learning Metric entropy Optimization Overfitting Pattern recognition Statistical learning theory Supervised classification Support vector machines (SVMs)