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Analytic Information Theory: From Compression to Learning Drmota, Michael (Technische Universitat Wien, Austria)
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Analytic Information Theory: From Compression to Learning
Drmota, Michael (Technische Universitat Wien, Austria)
Aimed at graduate students and researchers interested in information theory and the analysis of algorithms, this book explores problems of information and learning theory, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes.
400 pages, Worked examples or Exercises
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 7, 2023 |
| ISBN13 | 9781108474443 |
| Publishers | Cambridge University Press |
| Pages | 380 |
| Dimensions | 264 × 186 × 30 mm · 904 g |
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