Hannan consistency in on-line learning in case of unbounded losses under partial monitoring

Chamy Allenberg; Peter Auer; László Györfi; György Ottucsák

Hannan consistency in on-line learning in case of unbounded losses under partial monitoring

Chamy Allenberg, Peter Auer, László Györfi, György Ottucsák

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband

26 Zitate (Scopus)

Originalsprache	Englisch
Titel	Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings
Herausgeber (Verlag)	Springer Berlin
Seiten	229-243
Seitenumfang	15
ISBN (Print)	3540466495, 9783540466499
Publikationsstatus	Veröffentlicht - 1 Jan. 2006
Veranstaltung	17th International Conference on Algorithmic Learning Theory, ALT 2006 - Barcelona, Spanien Dauer: 7 Okt. 2006 → 10 Okt. 2006

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	4264 LNAI
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	17th International Conference on Algorithmic Learning Theory, ALT 2006
Land/Gebiet	Spanien
Ort	Barcelona
Zeitraum	7/10/06 → 10/10/06

Andere Dateien und Links

Link to publication in Scopus

Dieses zitieren

Allenberg, C., Auer, P., Györfi, L., & Ottucsák, G. (2006). Hannan consistency in on-line learning in case of unbounded losses under partial monitoring. in Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings (S. 229-243). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 4264 LNAI). Springer Berlin.

Allenberg, Chamy ; Auer, Peter ; Györfi, László et al. / Hannan consistency in on-line learning in case of unbounded losses under partial monitoring. Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings. Springer Berlin, 2006. S. 229-243 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Allenberg, C, Auer, P, Györfi, L & Ottucsák, G 2006, Hannan consistency in on-line learning in case of unbounded losses under partial monitoring. in Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 4264 LNAI, Springer Berlin, S. 229-243, 17th International Conference on Algorithmic Learning Theory, ALT 2006, Barcelona, Spanien, 7/10/06.

Hannan consistency in on-line learning in case of unbounded losses under partial monitoring. / Allenberg, Chamy; Auer, Peter; Györfi, László et al.
Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings. Springer Berlin, 2006. S. 229-243 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 4264 LNAI).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband

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AU - Allenberg, Chamy

AU - Auer, Peter

AU - Györfi, László

AU - Ottucsák, György

PY - 2006/1/1

Y1 - 2006/1/1

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M3 - Conference contribution

AN - SCOPUS:33750733956

SN - 3540466495

SN - 9783540466499

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 229

EP - 243

BT - Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings

PB - Springer Berlin

T2 - 17th International Conference on Algorithmic Learning Theory, ALT 2006

Y2 - 7 October 2006 through 10 October 2006

ER -

Allenberg C, Auer P, Györfi L, Ottucsák G. Hannan consistency in on-line learning in case of unbounded losses under partial monitoring. in Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings. Springer Berlin. 2006. S. 229-243. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).