메뉴 건너뛰기




Volumn 2798, Issue , 2003, Pages 278-292

Dynamic integration of classifiers in the space of principal components

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA MINING; EXTRACTION; FEATURE EXTRACTION; INTEGRATION; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 35248853274     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39403-7_22     Document Type: Article
Times cited : (7)

References (25)
  • 1
    • 0003543927 scopus 로고
    • Applied statistics: Classification and dimension reduction
    • Moscow
    • Aivazyan, S.A. Applied statistics: classification and dimension reduction. Finance and Statistics, Moscow (1989).
    • (1989) Finance and Statistics
    • Aivazyan, S.A.1
  • 2
    • 0025920368 scopus 로고
    • Parametric and nonparametric linear mappings of multidimensional data
    • Aladjem, M. Parametric and nonparametric linear mappings of multidimensional data. Pattern Recognition, Vol.24(6) (1991), pp. 543-553.
    • (1991) Pattern Recognition , vol.24 , Issue.6 , pp. 543-553
    • Aladjem, M.1
  • 3
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • Bauer, E., Kohavi, R. An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Machine Learning, Vol. 36, Nos. 1,2 (1999) 105-139.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 5
    • 0003408496 scopus 로고    scopus 로고
    • Dept. of Information and Computer Science, University of California, Irvine, CA
    • Blake, C.L., Merz, C.J. UCI repository of machine learning databases [http://www.ics.uci.edu/∼mlearn/ MLRepository.html]. Dept. of Information and Computer Science, University of California, Irvine, CA (1998).
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 6
    • 0031361611 scopus 로고    scopus 로고
    • Machine learning research: Four current directions
    • Dietterich, T.G. Machine learning research: four current directions. AI Magazine 18(4) (1997) 97-136.
    • (1997) AI Magazine , vol.18 , Issue.4 , pp. 97-136
    • Dietterich, T.G.1
  • 7
    • 0030270991 scopus 로고    scopus 로고
    • Data Mining and Knowledge Discovery: Making Sense out of Data
    • Oct.
    • Fayyad U.M. Data Mining and Knowledge Discovery: Making Sense Out of Data, IEEE Expert, Vol. 11, No. 5, Oct. (1996) pp. 20-25
    • (1996) IEEE Expert , vol.11 , Issue.5 , pp. 20-25
    • Fayyad, U.M.1
  • 9
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection of discrete and numeric class machine learning
    • San Francisco, CA. Morgan Kaufmann, San Francisco, CA
    • Hall, M.A. Correlation-based feature selection of discrete and numeric class machine learning. In Proc. Int. Conf. On Machine Learning (ICML-2000), San Francisco, CA. Morgan Kaufmann, San Francisco, CA (2000) 359-366.
    • (2000) Proc. Int. Conf. on Machine Learning (ICML-2000) , pp. 359-366
    • Hall, M.A.1
  • 12
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • C. Mellish (ed.), Morgan Kaufmann, San Francisco, CA
    • th Int. Joint Conf. on Artificial Intelligence IJCAI-95. Morgan Kaufmann, San Francisco, CA (1995) 1137-1145.
    • (1995) th Int. Joint Conf. on Artificial Intelligence IJCAI-95 , pp. 1137-1145
    • Kohavi, R.1
  • 15
    • 0011047871 scopus 로고    scopus 로고
    • Dynamical selection of learning algorithms
    • D. Fisher, H.-J. Lenz (eds.), Springer-Verlag, NY
    • Merz, C.J. Dynamical selection of learning algorithms. In D. Fisher, H.-J. Lenz (eds.), Learning from data, artificial intelligence and statistics, Springer-Verlag, NY (1996).
    • (1996) Learning from Data, Artificial Intelligence and Statistics
    • Merz, C.J.1
  • 16
    • 0032661927 scopus 로고    scopus 로고
    • Using correspondence analysis to combine classifiers
    • Merz, C.J. Using correspondence analysis to combine classifiers. Machine Learning 36(1-2) (1999) 33-58.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 33-58
    • Merz, C.J.1
  • 18
    • 0004037141 scopus 로고    scopus 로고
    • Technical report NASA-ARC-IC-1999-124, Computational Sciences Division, NASA Ames Research Center, Moffett Field, CA
    • Oza, N.C., Turner, K. Dimensionality reduction through classifier ensembles. Technical report NASA-ARC-IC-1999-124, Computational Sciences Division, NASA Ames Research Center, Moffett Field, CA (1999).
    • (1999) Dimensionality Reduction Through Classifier Ensembles
    • Oza, N.C.1    Turner, K.2
  • 19
    • 84957702069 scopus 로고    scopus 로고
    • A dynamic integration algorithm for an ensemble of classifiers
    • Z.W. Ras, A. Skowron (eds.), Foundations of Intelligent Systems: ISMIS'99, Springer-Verlag, Warsaw
    • Puuronen, S., Terziyan, V., Tsymbal, A. A dynamic integration algorithm for an ensemble of classifiers. In Z.W. Ras, A. Skowron (eds.), Foundations of Intelligent Systems: ISMIS'99, Lecture Notes in AI, Vol. 1609, Springer-Verlag, Warsaw (1999) 592-600.
    • (1999) Lecture Notes in AI , vol.1609 , pp. 592-600
    • Puuronen, S.1    Terziyan, V.2    Tsymbal, A.3
  • 25
    • 0026692226 scopus 로고
    • Stacked Generalization
    • Wolpert, D. Stacked Generalization. Neural Networks, Vol. 5 (1992) 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.