A multiple criteria active learning method for support vector regression
- Author
- DEMIR, Begüm1 ; BRUZZONE, Lorenzo1
[1] Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 14, 38123 Trento, Italy - Source
Pattern recognition. 2014, Vol 47, Num 7, pp 2558-2567, 10 p ; ref : 29 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Active learning Parameters estimation Regression Support vector regression
- Keyword (fr)
- Analyse multicritère Analyse régression Apprentissage Classification automatique Classification signal Densité élevée Estimation paramètre Implémentation Machine vecteur support Méthode itérative Robustesse
- Keyword (en)
- Multicriteria analysis Regression analysis Learning Automatic classification Signal classification High density Parameter estimation Implementation Support vector machine Iterative method Robustness
- Keyword (es)
- Análisis multicriterio Análisis regresión Aprendizaje Clasificación automática Densidad elevada Estimación parámetro Implementación Máquina vector soporte Método iterativo Robustez
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28417335
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
10.1016/j.patcog.2014.02.001 
https://dx.doi.org/10.1016/j.patcog.2014.02.001
"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:28:\"10.1016\/j.patcog.2014.02.001\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:72:\"A multiple criteria active learning method for support vector regression\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"47\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"2558\";s:8:\"\u0000*\u0000epage\";s:4:\"2567\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:5:\"DEMIR\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Beg\u00fcm\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:17:\"BRUZZONE, Lorenzo\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:72:\"A multiple criteria active learning method for support vector regression\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";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:28:\"10.1016\/j.patcog.2014.02.001\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:72:\"A multiple criteria active learning method for support vector regression\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"47\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"2558\";s:8:\"\u0000*\u0000epage\";s:4:\"2567\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:5:\"DEMIR\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Beg\u00fcm\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:17:\"BRUZZONE, Lorenzo\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:72:\"A multiple criteria active learning method for support vector regression\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";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:28:\"10.1016\/j.patcog.2014.02.001\";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:28:\"10.1016\/j.patcog.2014.02.001\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:72:\"A multiple criteria active learning method for support vector regression\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"47\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"2558\";s:8:\"\u0000*\u0000epage\";s:4:\"2567\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:5:\"DEMIR\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Beg\u00fcm\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:17:\"BRUZZONE, Lorenzo\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:72:\"A multiple criteria active learning method for support vector regression\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";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:28:\"10.1016\/j.patcog.2014.02.001\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:72:\"A multiple criteria active learning method for support vector regression\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"47\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"2558\";s:8:\"\u0000*\u0000epage\";s:4:\"2567\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:5:\"DEMIR\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Beg\u00fcm\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:17:\"BRUZZONE, Lorenzo\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:72:\"A multiple criteria active learning method for support vector regression\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";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:28:\"10.1016\/j.patcog.2014.02.001\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:72:\"A multiple criteria active learning method for support vector regression\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"47\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"2558\";s:8:\"\u0000*\u0000epage\";s:4:\"2567\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:5:\"DEMIR\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Beg\u00fcm\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:17:\"BRUZZONE, Lorenzo\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:72:\"A multiple criteria active learning method for support vector regression\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";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
