Probability theory for the Brier game. / Vovk, V .

Proceedings of the Workshop on Algorithmic Learning Theory. ed. / M. Li; A. Maruoka. Springer, 1997. p. 323-338 (Lecture Notes in Computer Science; Vol. 1316).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

Probability theory for the Brier game. / Vovk, V .

Proceedings of the Workshop on Algorithmic Learning Theory. ed. / M. Li; A. Maruoka. Springer, 1997. p. 323-338 (Lecture Notes in Computer Science; Vol. 1316).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Vovk, V 1997, Probability theory for the Brier game. in M Li & A Maruoka (eds), Proceedings of the Workshop on Algorithmic Learning Theory. Lecture Notes in Computer Science, vol. 1316, Springer, pp. 323-338.

APA

Vovk, V. (1997). Probability theory for the Brier game. In M. Li, & A. Maruoka (Eds.), Proceedings of the Workshop on Algorithmic Learning Theory (pp. 323-338). (Lecture Notes in Computer Science; Vol. 1316). Springer.

Vancouver

Vovk V. Probability theory for the Brier game. In Li M, Maruoka A, editors, Proceedings of the Workshop on Algorithmic Learning Theory. Springer. 1997. p. 323-338. (Lecture Notes in Computer Science).

Author

Vovk, V . / Probability theory for the Brier game. Proceedings of the Workshop on Algorithmic Learning Theory. editor / M. Li ; A. Maruoka. Springer, 1997. pp. 323-338 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{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",

}

RIS

TY - GEN

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 - Conference contribution

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 -