My Account Log in

1 option

Conformal and Probabilistic Prediction with Applications : 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings / edited by Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
Gammerman, A. (Alexander), editor.
Luo, Zhiyuan, editor.
Vega, Jesús, 1958- editor.
Vovk, Vladimir, 1960- editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9653.
Lecture Notes in Artificial Intelligence ; 9653
Language:
English
Subjects (All):
Artificial intelligence.
Algorithms.
Application software.
Data mining.
Database management.
Computers.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Information Systems Applications (incl. Internet).
Data Mining and Knowledge Discovery.
Database Management.
Computation by Abstract Devices.
Local Subjects:
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Information Systems Applications (incl. Internet).
Data Mining and Knowledge Discovery.
Database Management.
Computation by Abstract Devices.
Physical Description:
1 online resource (XII, 229 pages) : 45 illustrations.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held in Madrid, Spain, in April 2016. The 14 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 23 submissions and cover topics on theory of conformal prediction; applications of conformal prediction; and machine learning.
Contents:
Theory of conformal prediction
Applications of conformal prediction
Machine learning.
Other Format:
Printed edition:
ISBN:
978-3-319-33395-3
9783319333953
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account