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Volumn 4345 LNBI, Issue , 2006, Pages 433-440

Two-stage classifier for diagnosis of hypertension type

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOCHEMICAL ENGINEERING; BLOOD PRESSURE; DECISION MAKING; DIAGNOSIS;

EID: 34547455416     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/11946465_39     Document Type: Conference Paper
Times cited : (10)

References (18)
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    • Blinowska, A.1
  • 2
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    • Burduk R., Case of Fuzzy Loss Function in Multistage Recognition Algorithm, Journal of Medical Informatics & Technologies, 5, 2003, pp. MI 107-112.
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    • A decision-theoretic generalization of on-line learning and application to boosting
    • Freund Y., Schapire R.E., A decision-theoretic generalization of on-line learning and application to boosting, Journal of Computer and System Science, 55(1), 1997, pp. 119-139.
    • (1997) Journal of Computer and System Science , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 0003684449 scopus 로고    scopus 로고
    • The Elements of Statistical Learning. Data Mining, Inference, and Prediction
    • Springer Verlag, New York
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    • (2001) Springer Series in Statistics
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 8
    • 35248862907 scopus 로고    scopus 로고
    • An introduction to boosting and leveraging
    • Springer
    • Meir R. and Ratsch G. An introduction to boosting and leveraging, Lecture Notes in Artificial Intelligence, vol. 2600, Springer, 2003, pp. 119-184.
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    • Meir, R.1    Ratsch, G.2
  • 9
    • 84880832861 scopus 로고    scopus 로고
    • Constructing diverse classifier ensembles using artificial training examples
    • Acapulco, Mexico, August
    • Melville P., Mooney R., Constructing diverse classifier ensembles using artificial training examples, Proc. of 18th Intl. Joint Conf on Artificial Intelligence, Acapulco, Mexico, August 2003, pp. 505-510.
    • (2003) Proc. of 18th Intl. Joint Conf on Artificial Intelligence , pp. 505-510
    • Melville, P.1    Mooney, R.2
  • 13
    • 0030370417 scopus 로고    scopus 로고
    • Bagging, Boosting, and C4.5
    • Portland, Oregon, August 4-8
    • Quinlan J.R., Bagging, Boosting, and C4.5, Proc. AAAI 96 and IAAI 96 conferences, vol. 1, Portland, Oregon, August 4-8, 1996, pp. 725-230.
    • (1996) Proc. AAAI 96 and IAAI 96 conferences , vol.1 , pp. 725-230
    • Quinlan, J.R.1
  • 15
    • 0025448521 scopus 로고
    • The Strength of Weak Learnability
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    • Shapire, R.E.1
  • 16
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    • Schapire R.E., A Brief Introduction to Boosting, Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999.
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  • 18
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    • Boosted decision trees for diagnosis type of hypertension
    • Springer
    • Wozniak M., Boosted decision trees for diagnosis type of hypertension, Lecture Notes in Bioinformatics, vol. 3745, Springer, 2005, pp. 223-230.
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    • Wozniak, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.