Learning Theory and Kernel Machines / Lecture Notes in Computer Science Bd.2777 (PDF)
16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings
(Sprache: Englisch)
This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel 2003, held in Washington, DC in August 2003.
The 47 revised full papers presented together...
The 47 revised full papers presented together...
sofort als Download lieferbar
eBook (pdf)
Fr. 118.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Learning Theory and Kernel Machines / Lecture Notes in Computer Science Bd.2777 (PDF)“
This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel 2003, held in Washington, DC in August 2003.
The 47 revised full papers presented together with 5 invited contributions and 8 open problem statements were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on kernel machines, statistical learning theory, online learning, other approaches, and inductive inference learning.
The 47 revised full papers presented together with 5 invited contributions and 8 open problem statements were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on kernel machines, statistical learning theory, online learning, other approaches, and inductive inference learning.
Bibliographische Angaben
- 2003, 2003, 754 Seiten, Englisch
- Herausgegeben: Bernhard Schölkopf, Manfred K. Warmuth
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540451676
- ISBN-13: 9783540451679
- Erscheinungsdatum: 11.11.2003
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 8.06 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Learning Theory and Kernel Machines / Lecture Notes in Computer Science Bd.2777"
0 Gebrauchte Artikel zu „Learning Theory and Kernel Machines / Lecture Notes in Computer Science Bd.2777“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Learning Theory and Kernel Machines / Lecture Notes in Computer Science Bd.2777".
Kommentar verfassen