Research Catalog
Algorithmic learning in a random world
- Title
- Algorithmic learning in a random world / Vladimir Vovk, Alexander Gammerman, Glenn Shafer.
- Author
- Vovk, Vladimir, 1960-
- Publication
- New York : Springer, [2005], ©2005.
Items in the Library & Off-site
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Request in advance | QA279.2 .V68 2005 | Off-site |
Details
- Additional Authors
- Description
- xiv, 324 pages : illustrations; 25 cm
- Summary
- "Researchers in computer science, statistics, and artificial intelligence will find the book an authoritative and rigorous treatment of some of the most promising new developments in machine learning. Practitioners and students in all areas of research that use quantitative prediction or machine learning will learn about important new methods."--BOOK JACKET.
- Subject
- Bibliography (note)
- Includes bibliographical references (p. [303]-316) and index.
- Contents
- 1. Introduction -- 2. Conformal prediction -- 3. Classification with conformal predictors -- 4. Modifications of conformal predictors -- 5. Probabilistic prediction I : impossibility results -- 6. Probabilistic prediction II : Venn predictors -- 7. Beyond exchangeability -- 8. On-line compression modeling I : conformal prediction -- 9. On-line compression modeling II : Venn prediction -- 10. Perspectives and contrasts -- App. A. Probability theory -- App. B. Data sets.
- ISBN
- 0387001522 (acid-free paper)
- 0387250611 (eBK)
- LCCN
- 2005042556
- 9780387001524
- 9780387250618
- OCLC
- ocm57579438
- SCSB-5201251
- Owning Institutions
- Columbia University Libraries