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Volumn 4491 LNCS, Issue PART 1, 2007, Pages 1162-1172

A multi-instance learning algorithm based on normalized radial basis function network

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTION EVALUATION; LEARNING ALGORITHMS;

EID: 37249091171     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72383-7_136     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 1
    • 0030649484 scopus 로고    scopus 로고
    • Solving the Multiple-instance Problem with Axis-parallel Rectangles
    • Dietterich, T.G., Lathrop, R.H., Pérez, T.L.: Solving the Multiple-instance Problem with Axis-parallel Rectangles. Artificial Intelligence 89(1-2) (1997) 31-71
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Pérez, T.L.3
  • 2
    • 0004082786 scopus 로고    scopus 로고
    • PhD Dissertation. Department of Electrical Engineering and Computer Science, MIT
    • Maron, O.: Learning from Ambiguity, PhD Dissertation. Department of Electrical Engineering and Computer Science, MIT (1998)
    • (1998) Learning from Ambiguity
    • Maron, O.1
  • 3
    • 0031701616 scopus 로고    scopus 로고
    • PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-instance Examples
    • Long, P.M., Tan, L.: PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-instance Examples. Machine Learning 30(1) (1998) 7-21
    • (1998) Machine Learning , vol.30 , Issue.1 , pp. 7-21
    • Long, P.M.1    Tan, L.2
  • 4
    • 0002469253 scopus 로고    scopus 로고
    • On Learning from Multi-instance Examples: Empirical Evaluation of a Theoretical Approach
    • Nashville, TN
    • Auer, P.: On Learning from Multi-instance Examples: Empirical Evaluation of a Theoretical Approach, in Proceedings of the 14th International Conference on Machine Learning, Nashville, TN (1997) 21-29
    • (1997) Proceedings of the 14th International Conference on Machine Learning , pp. 21-29
    • Auer, P.1
  • 5
    • 0031704194 scopus 로고    scopus 로고
    • A Note on Learning from Multiple-instance Examples
    • Blum, A., Kalai, A.: A Note on Learning from Multiple-instance Examples. Machine Learning 30(1) (1998) 23-29
    • (1998) Machine Learning , vol.30 , Issue.1 , pp. 23-29
    • Blum, A.1    Kalai, A.2
  • 6
    • 84898935332 scopus 로고    scopus 로고
    • A Framework for Multiple-instance Learning
    • Jordan, M.I, Kearns, M.J, Solla, S.A, Eds. Cambridge, MA: MIT Press
    • Maron, O., Pérez, T.L.: A Framework for Multiple-instance Learning, in: Advances in Neural Information Processing Systems 10, Jordan, M.I., Kearns, M.J., Solla, S.A., Eds. Cambridge, MA: MIT Press (1998) 570-576
    • (1998) Advances in Neural Information Processing Systems , vol.10 , pp. 570-576
    • Maron, O.1    Pérez, T.L.2
  • 9
    • 37249034121 scopus 로고    scopus 로고
    • Neural Networks for Multi-instance Learning. Technical Report, AI Lab, Computer Science & Technology Department, Nanjing University. China
    • Aug
    • Zhou, Z.H., Zhang, M.L.: Neural Networks for Multi-instance Learning. Technical Report, AI Lab, Computer Science & Technology Department, Nanjing University. China, Aug. (2002)
    • (2002)
    • Zhou, Z.H.1    Zhang, M.L.2
  • 10
    • 37249024617 scopus 로고    scopus 로고
    • Edgar, G.A.: Measure, Topology, and Fractal Geometry (3rd print). Springer-Verlag (1995)
    • Edgar, G.A.: Measure, Topology, and Fractal Geometry (3rd print). Springer-Verlag (1995)
  • 11
    • 32444448004 scopus 로고    scopus 로고
    • Learning Behaviors of Stochastic Gradient Radial Basis Function Network Algorithms for Odor Sensing System
    • Kim, N., Byun, H.G., Kwon, K.H.: Learning Behaviors of Stochastic Gradient Radial Basis Function Network Algorithms for Odor Sensing System. ETRI Journal 28(1) (2006) 59-66
    • (2006) ETRI Journal , vol.28 , Issue.1 , pp. 59-66
    • Kim, N.1    Byun, H.G.2    Kwon, K.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.