APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS
- Author
- BARRON, Andrew R; COHEN, Albert; DAHMEN, Wolfgang; DEVORE, Ronald A
[1] Yale University, Université Pierre et Marie Curie 175, RWTH Aachen, United States
[2] University of South Carolina, United States - Source
Annals of statistics. 2008, Vol 36, Num 1, pp 64-94, 31 p ; ref : 23 ref
- CODEN
- ASTSC7
- ISSN
- 0090-5364
- Scientific domain
- Mathematics
- Publisher
- Institute of Mathematical Statistics, Hayward, CA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Accélération convergence Algorithme apprentissage Algorithme approximation Algorithme glouton Analyse numérique Apprentissage Approximation Convergence Enveloppe convexe Espace Hilbert Fonction taux Méthode paramétrique Méthode statistique Performance algorithme Problème sélection Projection Régression statistique Statistique rang Sélection modèle Taux convergence Théorie statistique 46Cxx 60J20 62F07 62Jxx 65B99 Espace F Estimation paramétrique Méthode sélection
- Keyword (en)
- Convergence acceleration Learning algorithm Approximation algorithm Greedy algorithm Numerical analysis Learning Approximation Convergence Convex hull Hilbert space Rate function Parametric method Statistical method Algorithm performance Selection problem Projection Statistical regression Rank statistic Model selection Convergence rate Statistical theory F space Selection method
- Keyword (es)
- Aceleración convergencia Algoritmo aprendizaje Algoritmo aproximación Algoritmo glotón Análisis numérico Aprendizaje Aproximación Convergencia Cápsula convexa Espacio Hilbert Función tasa Método paramétrico Método estadístico Resultado algoritmo Problema selección Proyección Regresión estadística Estadística rango Selección modelo Relación convergencia Teoría estadística
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02E Mathematical analysis / 001A02E16 Functional analysis
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01J Markov processes
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02A General topics
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20140313
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Access to the document
Install on your browser
DOI
10.1214/009053607000000631 
https://dx.doi.org/10.1214/009053607000000631
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1214\/009053607000000631\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:9:\"\u0000*\u0000jtitle\";s:20:\"Annals of statistics\";s:9:\"\u0000*\u0000stitle\";s:9:\"Ann. stat\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"36\";s:8:\"\u0000*\u0000issue\";s:1:\"1\";s:8:\"\u0000*\u0000spage\";s:2:\"64\";s:8:\"\u0000*\u0000epage\";s:2:\"94\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0090-5364\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"BARRON\";s:10:\"\u0000*\u0000aufirst\";s:8:\"Andrew R\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:13:\"COHEN, Albert\";i:1;s:16:\"DAHMEN, Wolfgang\";i:2;s:16:\"DEVORE, Ronald A\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ASTSC7\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:8:\"\u0000*\u0000place\";s:11:\"Hayward, CA\";s:6:\"\u0000*\u0000pub\";s:36:\"Institute of Mathematical Statistics\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"31\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1214\/009053607000000631\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:9:\"\u0000*\u0000jtitle\";s:20:\"Annals of statistics\";s:9:\"\u0000*\u0000stitle\";s:9:\"Ann. stat\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"36\";s:8:\"\u0000*\u0000issue\";s:1:\"1\";s:8:\"\u0000*\u0000spage\";s:2:\"64\";s:8:\"\u0000*\u0000epage\";s:2:\"94\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0090-5364\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"BARRON\";s:10:\"\u0000*\u0000aufirst\";s:8:\"Andrew R\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:13:\"COHEN, Albert\";i:1;s:16:\"DAHMEN, Wolfgang\";i:2;s:16:\"DEVORE, Ronald A\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ASTSC7\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:8:\"\u0000*\u0000place\";s:11:\"Hayward, CA\";s:6:\"\u0000*\u0000pub\";s:36:\"Institute of Mathematical Statistics\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"31\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:26:\"10.1214\/009053607000000631\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1214\/009053607000000631\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:9:\"\u0000*\u0000jtitle\";s:20:\"Annals of statistics\";s:9:\"\u0000*\u0000stitle\";s:9:\"Ann. stat\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"36\";s:8:\"\u0000*\u0000issue\";s:1:\"1\";s:8:\"\u0000*\u0000spage\";s:2:\"64\";s:8:\"\u0000*\u0000epage\";s:2:\"94\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0090-5364\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"BARRON\";s:10:\"\u0000*\u0000aufirst\";s:8:\"Andrew R\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:13:\"COHEN, Albert\";i:1;s:16:\"DAHMEN, Wolfgang\";i:2;s:16:\"DEVORE, Ronald A\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ASTSC7\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:8:\"\u0000*\u0000place\";s:11:\"Hayward, CA\";s:6:\"\u0000*\u0000pub\";s:36:\"Institute of Mathematical Statistics\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"31\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1214\/009053607000000631\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:9:\"\u0000*\u0000jtitle\";s:20:\"Annals of statistics\";s:9:\"\u0000*\u0000stitle\";s:9:\"Ann. stat\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"36\";s:8:\"\u0000*\u0000issue\";s:1:\"1\";s:8:\"\u0000*\u0000spage\";s:2:\"64\";s:8:\"\u0000*\u0000epage\";s:2:\"94\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0090-5364\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"BARRON\";s:10:\"\u0000*\u0000aufirst\";s:8:\"Andrew R\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:13:\"COHEN, Albert\";i:1;s:16:\"DAHMEN, Wolfgang\";i:2;s:16:\"DEVORE, Ronald A\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ASTSC7\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:8:\"\u0000*\u0000place\";s:11:\"Hayward, CA\";s:6:\"\u0000*\u0000pub\";s:36:\"Institute of Mathematical Statistics\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"31\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Base Search access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1214\/009053607000000631\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:9:\"\u0000*\u0000jtitle\";s:20:\"Annals of statistics\";s:9:\"\u0000*\u0000stitle\";s:9:\"Ann. stat\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"36\";s:8:\"\u0000*\u0000issue\";s:1:\"1\";s:8:\"\u0000*\u0000spage\";s:2:\"64\";s:8:\"\u0000*\u0000epage\";s:2:\"94\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0090-5364\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"BARRON\";s:10:\"\u0000*\u0000aufirst\";s:8:\"Andrew R\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:13:\"COHEN, Albert\";i:1;s:16:\"DAHMEN, Wolfgang\";i:2;s:16:\"DEVORE, Ronald A\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ASTSC7\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:47:\"APPROXIMATION AND LEARNING BY GREEDY ALGORITHMS\";s:8:\"\u0000*\u0000place\";s:11:\"Hayward, CA\";s:6:\"\u0000*\u0000pub\";s:36:\"Institute of Mathematical Statistics\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"31\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
