Algorithmic Learning in a Random World
Author
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-06649-8
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a for a similarly titled item that would be available.
Book Chapters
The following chapters of this book are listed in IDEAS- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Introduction," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 1-16, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Conformal Prediction: General Case and Regression," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 19-69, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Conformal Prediction: Classification and General Case," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 71-106, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Modifications of Conformal Predictors," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 107-142, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Impossibility Results," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 145-155, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Probabilistic Classification: Venn Predictors," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 157-179, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Probabilistic Regression: Conformal Predictive Systems," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 181-224, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Testing Exchangeability," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 227-263, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Efficiency of Conformal Testing," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 265-304, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Non-conformal Shortcut," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 305-330, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Generalized Conformal Prediction," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 333-362, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Generalized Venn Prediction and Hypergraphical Models," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 363-389, Springer.
- Vladimir Vovk & Alexander Gammerman & Glenn Shafer, 2022. "Contrasts and Perspectives," Springer Books, in: Algorithmic Learning in a Random World, edition 2, chapter 0, pages 391-422, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprbok:978-3-031-06649-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/b/spr/sprbok/978-3-031-06649-8.html