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Volumn , Issue , 2007, Pages 2635-2641

Sequential inductive transfer for coronary artery disease diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; LINEARIZATION; PARALLEL ALGORITHMS; VEGETATION;

EID: 51749123329     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371374     Document Type: Conference Paper
Times cited : (6)

References (12)
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    • Caruana, R.A.1
  • 3
    • 0034922742 scopus 로고    scopus 로고
    • Machine learning for medical diagnosis: History, state of the art and perspective
    • I. Kononenko. Machine learning for medical diagnosis: History, state of the art and perspective. Artificial Intelligence in Medicine, 23(1):89-109, 2001.
    • (2001) Artificial Intelligence in Medicine , vol.23 , Issue.1 , pp. 89-109
    • Kononenko, I.1
  • 5
    • 38149038993 scopus 로고
    • Catastrophic forgetting, rehearsal, and pseudorehearsal
    • Anthony V. Robins. Catastrophic forgetting, rehearsal, and pseudorehearsal. Connection Science, 7:123-146, 1995.
    • (1995) Connection Science , vol.7 , pp. 123-146
    • Robins, A.V.1
  • 6
    • 0027411088 scopus 로고
    • Artificial intelligence: Its use in medical diagnosis
    • R. Scott. Artificial intelligence: Its use in medical diagnosis. J Nucl Med, 34(3):510-514, 1993.
    • (1993) J Nucl Med , vol.34 , Issue.3 , pp. 510-514
    • Scott, R.1
  • 7
    • 0031063485 scopus 로고    scopus 로고
    • The predictive and explanatory power of inductive decision trees: A comparison with artificial neural network learning as applied to the non-invasive diagnosis of coronary artery disease
    • February
    • D. Silver and G. Hurwitz. The predictive and explanatory power of inductive decision trees: A comparison with artificial neural network learning as applied to the non-invasive diagnosis of coronary artery disease. Journal of Investigative Medicine, 45(2):99-108, February 1997.
    • (1997) Journal of Investigative Medicine , vol.45 , Issue.2 , pp. 99-108
    • Silver, D.1    Hurwitz, G.2
  • 8
    • 0030491431 scopus 로고    scopus 로고
    • The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness
    • Daniel L. Silver and Robert E. Mercer. The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness. Connection Science Special Issue: Transfer in Inductive Systems, 8(2):277-294, 1996.
    • (1996) Connection Science Special Issue: Transfer in Inductive Systems , vol.8 , Issue.2 , pp. 277-294
    • Silver, D.L.1    Mercer, R.E.2
  • 10
    • 84974659970 scopus 로고    scopus 로고
    • Daniel L. Silver and Robert E. Mercer. The task rehearsal method of life-long learning: Overcoming impoverished data. Advances in Artificial Intelligence, 15th Conference of the Canadian Society for Computational Studies of Intelligence (AI'2002), pages 2338:90-101, 2002.
    • Daniel L. Silver and Robert E. Mercer. The task rehearsal method of life-long learning: Overcoming impoverished data. Advances in Artificial Intelligence, 15th Conference of the Canadian Society for Computational Studies of Intelligence (AI'2002), pages 2338:90-101, 2002.
  • 11
    • 0010687621 scopus 로고    scopus 로고
    • Lifelong learning algorithms
    • Sebastian Thrun. Lifelong learning algorithms. Learning to Learn, pages 181-209, 1997.
    • (1997) Learning to Learn , pp. 181-209
    • Thrun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.