Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems / Lecture Notes in Mathematics Bd.2033 (PDF)
École d'Été de Probabilités de Saint-Flour XXXVIII-2008
(Sprache: Englisch)
The purpose of these lecture notes is to provide an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. In recent years, there have been new developments in...
sofort als Download lieferbar
eBook (pdf)
80.24 €
40 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems / Lecture Notes in Mathematics Bd.2033 (PDF)“
The purpose of these lecture notes is to provide an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. In recent years, there have been new developments in this area motivated by the study of new classes of methods in machine learning such as large margin classification methods (boosting, kernel machines). The main probabilistic tools involved in the analysis of these problems are concentration and deviation inequalities by Talagrand along with other methods of empirical processes theory (symmetrization inequalities, contraction inequality for Rademacher sums, entropy and generic chaining bounds). Sparse recovery based on l_1-type penalization and low rank matrix recovery based on the nuclear norm penalization are other active areas of research, where the main problems can be stated in the framework of penalized empirical risk minimization, and concentration inequalities and empirical processes tools have proved to be very useful.
Bibliographische Angaben
- Autor: Vladimir Koltchinskii
- 2011, 2011, 254 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642221475
- ISBN-13: 9783642221477
- Erscheinungsdatum: 29.07.2011
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.17 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Pressezitat
From the reviews:“The book is an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. … The book is interesting and useful for students as well as for professionals in the field of probability theory, statistics, and their applications.” (Pavel Stoynov, Zentralblatt MATH, Vol. 1223, 2011)
Kommentar zu "Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems / Lecture Notes in Mathematics Bd.2033"
0 Gebrauchte Artikel zu „Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems / Lecture Notes in Mathematics Bd.2033“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems / Lecture Notes in Mathematics Bd.2033".
Kommentar verfassen