Probability theory for the Brier game

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Original language	English
Title of host publication	Proceedings of the Workshop on Algorithmic Learning Theory
Editors	M. Li, A. Maruoka
Publisher	Springer
Pages	323-338
Number of pages	16
Publication status	Published - 1997

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	1316

Keywords

@inbook{495ac2efc81b4a23848bdc8e246d7a7d,

title = "Probability theory for the Brier game",

keywords = "GRADIENT DESCENT, LINEAR FUNCTIONS, law of large numbers, Jeffreys's law",

author = "V Vovk",

year = "1997",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "323--338",

editor = "M. Li and A. Maruoka",

booktitle = "Proceedings of the Workshop on Algorithmic Learning Theory",

}

TY - CHAP

T1 - Probability theory for the Brier game

AU - Vovk, V

PY - 1997

Y1 - 1997

KW - GRADIENT DESCENT

KW - LINEAR FUNCTIONS

KW - law of large numbers

KW - Jeffreys's law

M3 - Chapter (peer-reviewed)

T3 - Lecture Notes in Computer Science

SP - 323

EP - 338

BT - Proceedings of the Workshop on Algorithmic Learning Theory

A2 - Li, M.

A2 - Maruoka, A.

PB - Springer

ER -