Measures of Complexity
Festschrift for Alexey Chervonenkis
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.
| ISBN: | 9783319218519 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 399 |
| Produktart: | Gebunden |
| Herausgeber: | Gammerman, Alexander Papadopoulos, Harris Vovk, Vladimir |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 14.09.2015 |
| Untertitel: | Festschrift for Alexey Chervonenkis |
| Schlagworte: | Algorithmic statistics Bayesian theory Causal inference Communicaton complexity Computational complexity Kernels Kolmogorov complexity Machine learning Metric entropy Optimization |
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