Supervised and Unsupervised Ensemble Methods and their Applications
This book was inspired by the last argument and resulted from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) organized on June 4, 2007 in Girona, Spain. This workshop was held in conjunction with the 3rd Iberian Conference on Pattern Recognition...
Kaydedildi:
| Yazar: | |
|---|---|
| Diğer Yazarlar: | |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2008. |
| Seri Bilgileri: | Studies in Computational Intelligence
126 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Supervised and unsupervised ensemble methods and their applications, Oleg Okun, Giorgio Valentini (eds.), 2008, Berlin, Springer, 1 vol. (180 pages), Studies in computational intelligence, 978-3-540-78980-2 • Supervised and Unsupervised Ensemble Methods and their Applications, Texte imprimé, 9783642097768 • Supervised and Unsupervised Ensemble Methods and their Applications, Texte imprimé, 9783540849650 • Supervised and unsupervised ensemble methods and their applications, Oleg Okun, Giorgio Valentini (eds.), 2008, Berlin, Springer, 1 vol. (180 pages), Studies in computational intelligence, 978-3-540-78980-2 |
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| 100 | 1 | |a Okun, Oleg. | |
| 245 | 1 | 0 | |a Supervised and Unsupervised Ensemble Methods and their Applications |c edited by Oleg Okun, Giorgio Valentini. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 126 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Ensembles of Clustering Methods and Their Applications Cluster Ensemble Methods: from Single Clusterings to Combined Solutions Random Subspace Ensembles for Clustering Categorical Data Ensemble Clustering with a Fuzzy Approach Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis Ensembles of Classification Methods and Their Applications Intrusion Detection in Computer Systems Using Multiple Classifier Systems Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification Multivariate Time Series Classification via Stacking of Univariate Classifiers Gradient Boosting GARCH and Neural Networks for Time Series Prediction Cascading with VDM and Binary Decision Trees for Nominal Data Erratum | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book was inspired by the last argument and resulted from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) organized on June 4, 2007 in Girona, Spain. This workshop was held in conjunction with the 3rd Iberian Conference on Pattern Recognition and Image Analysis and was intended to encompass the progress in the ensemble applications made by the Iberian and international scholars. Despite its small format, SUEMA attracted researchers from Spain, Portugal, France, USA, Italy, and Finland, who presented interesting ideas about using the ensembles in various practical cases. Encouraged by this enthusiastic reply, we decided to publish workshop papers in an edited book, since CD proceedings were the only media distributed among the workshop participants at that time. The book includes nine chapters divided into two parts, assembling contributions to the applications of supervised and unsupervised ensembles. The book is intended to be primarily a reference work. It could be a good complement to two excellent books on ensemble methodology Combining pattern classifiers: methods and algorithms by Ludmila Kuncheva (John Wiley & Sons, 2004) and Decomposition methodology for knowledge discovery and data mining: theory and applications by Oded Maimon and Lior Rokach (World Scientific, 2005) | ||
| 700 | 1 | |a Okun, Oleg. |4 pbd | |
| 700 | 1 | |a Valentini, Giorgio, |d 19..- |4 pbd | |
| 776 | 0 | |0 23784981X |t Supervised and unsupervised ensemble methods and their applications |f Oleg Okun, Giorgio Valentini (eds.) |d 2008 |c Berlin |n Springer |p 1 vol. (180 pages) |s Studies in computational intelligence |z 978-3-540-78980-2 | |
| 776 | 0 | |t Supervised and Unsupervised Ensemble Methods and their Applications |b Texte imprimé |z 9783642097768 | |
| 776 | 0 | |t Supervised and Unsupervised Ensemble Methods and their Applications |b Texte imprimé |z 9783540849650 | |
| 776 | 0 | |0 23784981X |t Supervised and unsupervised ensemble methods and their applications |f Oleg Okun, Giorgio Valentini (eds.) |d 2008 |c Berlin |n Springer |p 1 vol. (180 pages) |s Studies in computational intelligence |z 978-3-540-78980-2 | |
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