Hannan consistency in online learning in case of unbounded losses under partial monitoring
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Standard
Hannan consistency in online learning in case of unbounded losses under partial monitoring. / Auer, Peter; Allenberg, C.; Györfi, L. et al.
Algorithmic Learning Theory. Springer, 2006. p. 229-243.
Algorithmic Learning Theory. Springer, 2006. p. 229-243.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Harvard
Auer, P, Allenberg, C, Györfi, L & Ottucsák, G 2006, Hannan consistency in online learning in case of unbounded losses under partial monitoring. in Algorithmic Learning Theory. Springer, pp. 229-243.
APA
Auer, P., Allenberg, C., Györfi, L., & Ottucsák, G. (2006). Hannan consistency in online learning in case of unbounded losses under partial monitoring. In Algorithmic Learning Theory (pp. 229-243). Springer.
Vancouver
Auer P, Allenberg C, Györfi L, Ottucsák G. Hannan consistency in online learning in case of unbounded losses under partial monitoring. In Algorithmic Learning Theory. Springer. 2006. p. 229-243
Author
Bibtex - Download
@inproceedings{00e59dd7389545548806de630d6a2e48,
title = "Hannan consistency in online learning in case of unbounded losses under partial monitoring",
author = "Peter Auer and C. Allenberg and L. Gy{\"o}rfi and G. Ottucs{\'a}k",
year = "2006",
language = "English",
isbn = "978-3-540-46649-9",
pages = "229--243",
booktitle = "Algorithmic Learning Theory",
publisher = "Springer",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Hannan consistency in online learning in case of unbounded losses under partial monitoring
AU - Auer, Peter
AU - Allenberg, C.
AU - Györfi, L.
AU - Ottucsák, G.
PY - 2006
Y1 - 2006
M3 - Conference contribution
SN - 978-3-540-46649-9
SP - 229
EP - 243
BT - Algorithmic Learning Theory
PB - Springer
ER -