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Volumn 2, Issue , 2007, Pages 388-395

Conformal prediction with neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CANNING; COMPUTATIONAL METHODS; CYBERNETICS; FORECASTING; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; VEGETATION;

EID: 48649085460     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2007.47     Document Type: Conference Paper
Times cited : (84)

References (12)
  • 2
    • 0029306995 scopus 로고    scopus 로고
    • R. D. King, C. Feng, and A. Sutherland. Statlog: Comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence, 9(3):259-287, 1995. See also http://www.ncc.up.pt/liacc/ML/ statlog/datasets.html.
    • R. D. King, C. Feng, and A. Sutherland. Statlog: Comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence, 9(3):259-287, 1995. See also http://www.ncc.up.pt/liacc/ML/ statlog/datasets.html.
  • 3
    • 18344371384 scopus 로고
    • The definition of random sequences
    • P. Martin-Löf. The definition of random sequences. Information and Control, 9:602-619, 1966.
    • (1966) Information and Control , vol.9 , pp. 602-619
    • Martin-Löf, P.1
  • 4
    • 84948132465 scopus 로고    scopus 로고
    • Comparing the Bayes and Typicalness frameworks
    • Proceedings of the 12th European Conference on Machine Learning ECML'01, of, Springer
    • T. Melluish, C. Saunders, I. Nouretdinov, and V. Vovk. Comparing the Bayes and Typicalness frameworks. In Proceedings of the 12th European Conference on Machine Learning (ECML'01), volume 2167 of Lecture Notes in Computer Science, pages 360-371. Springer, 2001.
    • (2001) Lecture Notes in Computer Science , vol.2167 , pp. 360-371
    • Melluish, T.1    Saunders, C.2    Nouretdinov, I.3    Vovk, V.4
  • 5
    • 48649088842 scopus 로고    scopus 로고
    • D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors. Machine Learning, Neural and Statistical Classification. Ellis Horwood, 1994. See also http://www.ncc.up.pt/liacc/ML/statlog/datasets.html.
    • D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors. Machine Learning, Neural and Statistical Classification. Ellis Horwood, 1994. See also http://www.ncc.up.pt/liacc/ML/statlog/datasets.html.
  • 6
    • 84943267230 scopus 로고    scopus 로고
    • Pattern recognition and density estimation under the general iid assumption
    • Proceedings of the 14th Annual Conference on Computational Learning Theory (COLT'01) and 5th European Conference on Computational Learning Theory EuroCOLT'01, of, Springer
    • I. Nouretdinov, V. Vovk, M. V. Vyugin, and A. Gammerman. Pattern recognition and density estimation under the general iid assumption. In Proceedings of the 14th Annual Conference on Computational Learning Theory (COLT'01) and 5th European Conference on Computational Learning Theory (EuroCOLT'01), volume 2111 of Lecture Notes in Computer Science, pages 337-353. Springer, 2001.
    • (2001) Lecture Notes in Computer Science , vol.2111 , pp. 337-353
    • Nouretdinov, I.1    Vovk, V.2    Vyugin, M.V.3    Gammerman, A.4
  • 7
    • 84902237449 scopus 로고    scopus 로고
    • Inductive confidence machines for regression
    • Proceedings of the 13th European Conference on Machine Learning ECML'02, of, Springer
    • H. Papadopoulos, K. Proedrou, V. Vovk, and A. Gammerman. Inductive confidence machines for regression. In Proceedings of the 13th European Conference on Machine Learning (ECML'02), volume 2430 of Lecture Notes in Computer Science, pages 345-356. Springer, 2002.
    • (2002) Lecture Notes in Computer Science , vol.2430 , pp. 345-356
    • Papadopoulos, H.1    Proedrou, K.2    Vovk, V.3    Gammerman, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.