메뉴 건너뛰기




Volumn 67, Issue 4, 2005, Pages 483-490

Feature selection algorithms using Chilean wine chromatograms as examples

Author keywords

Feature selection; Genetic algorithms; Signal processing; Wine classification

Indexed keywords

DEMODULATION; GENETIC ALGORITHMS; LIQUID CHROMATOGRAPHY; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; PHOTODIODES; SIGNAL PROCESSING;

EID: 9944252840     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2004.05.015     Document Type: Article
Times cited : (30)

References (23)
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum, A. L., & Langley, P. (1997). Selection of relevant features and examples in machine learning. Artificial Intelligence, 97(1-2), 245-271.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 4
    • 33845629152 scopus 로고
    • Using decision trees to improve case-based learning
    • Morgan Kaufmann Publishers, University of Massachusetts, Amherst, USA, June 1993
    • Cardie, C. (1993). Using decision trees to improve case-based learning. In Proceedings of Tenth International Conference on Machine Learning (pp. 25-32). Morgan Kaufmann Publishers, University of Massachusetts, Amherst, USA, June 1993.
    • (1993) Proceedings of Tenth International Conference on Machine Learning , pp. 25-32
    • Cardie, C.1
  • 5
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • Dash, M., & Liu, H. (1997). Feature selection for classification. Intelligent Data Analysis, 1(3), 131-156.
    • (1997) Intelligent Data Analysis , vol.1 , Issue.3 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 11
    • 0027002164 scopus 로고
    • The feature selection problem: Traditional methods and a new algorithm
    • MIT Press, Cambridge, MA, USA
    • Kira, K. & Rendell, L. A. (1992). The feature selection problem: Traditional methods and a new algorithm. In Proceedings of Ninth National Conference on Artificial Intelligence (pp. 129-134). MIT Press, Cambridge, MA, USA.
    • (1992) Proceedings of Ninth National Conference on Artificial Intelligence , pp. 129-134
    • Kira, K.1    Rendell, L.A.2
  • 14
    • 0003679582 scopus 로고
    • Ph.D. Thesis, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory (IlliGAL) Report No. 95001, May 1995
    • Mahfoud, S. W. (1995). Niching methods for genetic algorithms. Ph.D. Thesis, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory (IlliGAL) Report No. 95001, May 1995.
    • (1995) Niching Methods for Genetic Algorithms
    • Mahfoud, S.W.1
  • 15
    • 0009739617 scopus 로고    scopus 로고
    • Determination of nine characteristics anthocyanins in wine by HPLC
    • Paris., August 2000. F.V. No. 1104 2713/100200
    • Marx, R., Holbach, B. & Otteneder, H. (2000). Determination of nine characteristics anthocyanins in wine by HPLC. Off. Int. Vigne Vin. Bulletin. Paris., August 2000. F.V. No. 1104 2713/100200.
    • (2000) Off. Int. Vigne Vin. Bulletin
    • Marx, R.1    Holbach, B.2    Otteneder, H.3
  • 18
    • 84948597805 scopus 로고
    • A comparison of seven techniques for choosing subsets of pattern recognition
    • Mucciardi, A. N., & Gose, E. E. (1971). A comparison of seven techniques for choosing subsets of pattern recognition. IEEE Transactions on Computers. 20(9), 1023-1031.
    • (1971) IEEE Transactions on Computers. , vol.20 , Issue.9 , pp. 1023-1031
    • Mucciardi, A.N.1    Gose, E.E.2
  • 20
    • 0017535866 scopus 로고
    • A branch and bound algorithm for feature selection
    • Narendra, P. M., & Fukunaga, K. (1977). A branch and bound algorithm for feature selection. IEEE Transactions on Computers, 26(9), 917-922.
    • (1977) IEEE Transactions on Computers , vol.26 , Issue.9 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.