메뉴 건너뛰기




Volumn 6, Issue 6, 2002, Pages 517-530

Classification and filtering of spectra: A case study in mineralogy

Author keywords

classification; filtering; scientific applications

Indexed keywords

AUTOMATION; CLASSIFICATION (OF INFORMATION); FILTRATION; GENETIC ALGORITHMS; MACHINE DESIGN; MINERAL EXPLORATION; NASA; SPECTROMETERS;

EID: 44849098624     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2002-6604     Document Type: Article
Times cited : (3)

References (24)
  • 4
    • 0002949602 scopus 로고    scopus 로고
    • Genetic algorithms to learn feature weights for the nearest neighbor algorithm
    • G. Demiroz and H. Guvenir, Genetic algorithms to learn feature weights for the nearest neighbor algorithm, In Proceedings of BENELEARN-96, 1996, pp. 117-126.
    • (1996) Proceedings of BENELEARN-96 , pp. 117-126
    • Demiroz, G.1    Guvenir, H.2
  • 5
    • 0007425929 scopus 로고    scopus 로고
    • Bump hunting in high-dimensional data
    • J. Friedman and N. Fisher, Bump hunting in high-dimensional data, Statistics and Computing 9 (1999), 123-143.
    • (1999) Statistics and Computing , vol.9 , pp. 123-143
    • Friedman, J.1    Fisher, N.2
  • 8
    • 0004060921 scopus 로고    scopus 로고
    • PhD thesis, University of Waikato, Computer Science Department. Hamilton, New Zealand
    • M. Hall, Correlation-based Feature Selection for Machine Learning, PhD thesis, University of Waikato, Computer Science Department. Hamilton, New Zealand, 1999.
    • (1999) Correlation-based Feature Selection for Machine Learning
    • Hall, M.1
  • 22
    • 0032028849 scopus 로고    scopus 로고
    • Feature space transformation using genetic algorithms
    • V. Vafaie and K. DeJong, Feature space transformation using genetic algorithms, IEEE Transactions on Intelligent Systems 13(2) (1998), 57-65.
    • (1998) IEEE Transactions on Intelligent Systems , vol.13 , Issue.2 , pp. 57-65
    • Vafaie, V.1    Dejong, K.2
  • 23
    • 0031073477 scopus 로고    scopus 로고
    • A review and comparative evaluation of feature weighting methods for lazy learning algorithms
    • D. Wettschereck, D.W. Aha and T. Mohri, A review and comparative evaluation of feature weighting methods for lazy learning algorithms, Artificial Intelligence Review 11 (1997), 273-231.
    • (1997) Artificial Intelligence Review , vol.11 , pp. 273-231
    • Wettschereck, D.1    Aha, D.W.2    Mohri, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.