Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation.

@inproceedings{DBLP:conf/adbis/TsymbalPT99,
  author    = {Alexey Tsymbal and
               Seppo Puuronen and
               Vagan Y. Terziyan},
  editor    = {Johann Eder and
               Ivan Rozman and
               Tatjana Welzer},
  title     = {Arbiter Meta-Learning with Dynamic Selection of Classifiers and
               Its Experimental Investigation},
  booktitle = {Advances in Databases and Information Systems, Third East European
               Conference, ADBIS'99, Maribor, Slovenia, September 13-16, 1999,
               Proceedings},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1691},
  year      = {1999},
  isbn      = {3-540-66485-8},
  pages     = {205-217},
  ee        = {db/conf/adbis/TsymbalPT99.html, http://link.springer.de/link/service/series/0558/bibs/1691/16910205.htm},
  crossref  = {DBLP:conf/adbis/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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Philip K. Chan, Salvatore J. Stolfo: On the Accuracy of Meta-Learning for Scalable Data Mining. J. Intell. Inf. Syst. 8(1): 5-28(1997)

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Contents

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Ron Kohavi: A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. IJCAI 1995: 1137-1145

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Seppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal: A Dynamic Integration Algorithm for an Ensemble of Classifiers. ISMIS 1999: 592-600

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