Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems (Record no. 31270)
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000 -LEADER | |
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fixed length control field | 02762nam a22004695i 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783642221477 |
-- | 978-3-642-22147-7 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.2 |
100 1# - MAIN ENTRY--AUTHOR NAME | |
Personal name | Koltchinskii, Vladimir. |
245 10 - TITLE STATEMENT | |
Title | Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems |
Sub Title | École d’Été de Probabilités de Saint-Flour XXXVIII-2008 / |
Statement of responsibility, etc | by Vladimir Koltchinskii. |
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Berlin, Heidelberg : |
Name of publisher | Springer Berlin Heidelberg, |
Year of publication | 2011. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | IX, 254p. |
Other physical details | online resource. |
490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Mathematics, |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Mathematics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Distribution (Probability theory). |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Mathematics. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Probability Theory and Stochastic Processes. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-22147-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | E-BOOKS |
264 #1 - | |
-- | Berlin, Heidelberg : |
-- | Springer Berlin Heidelberg, |
-- | 2011. |
336 ## - | |
-- | text |
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-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | text file |
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830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 0075-8434 ; |
Withdrawn status | Lost status | Damaged status | Not for loan | Current library | Accession Number | Uniform Resource Identifier | Koha item type |
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IMSc Library | EBK1976 | http://dx.doi.org/10.1007/978-3-642-22147-7 | E-BOOKS |