메뉴 건너뛰기




Volumn 12, Issue 12, 2000, Pages 2909-2940

Incremental active learning for optimal generalization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; COMPUTER SIMULATION; LEARNING; ROBOTICS;

EID: 0034567857     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976600300014773     Document Type: Article
Times cited : (19)

References (38)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19(6), 716-723.
    • (1974) IEEE Transactions on Automatic Control , vol.AC-19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 6
    • 0003328374 scopus 로고
    • Neural network exploration using optimal experiment design
    • J. Cowan, G. Tesauro, & J. Alspector (Eds.), San Mateo, CA: Morgan Kaufmann.
    • Cohn, D. A. (1994). Neural network exploration using optimal experiment design. In J. Cowan, G. Tesauro, & J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 679-686). San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 679-686
    • Cohn, D.A.1
  • 7
    • 0030221433 scopus 로고    scopus 로고
    • Neural network exploration using optimal experiment design
    • Cohn, D. A. (1996). Neural network exploration using optimal experiment design. Neural Networks, 9(6), 1071-1083.
    • (1996) Neural Networks , vol.9 , Issue.6 , pp. 1071-1083
    • Cohn, D.A.1
  • 8
    • 0038906935 scopus 로고    scopus 로고
    • Minimizing statistical bias with queries
    • M. C. Mozer, M. Jordan, & T. Petsche (Eds.), Cambridge, MA: MIT Press
    • Cohn, D. A. (1997). Minimizing statistical bias with queries. In M. C. Mozer, M. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems, 9 (pp. 417-423). Cambridge, MA: MIT Press.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 417-423
    • Cohn, D.A.1
  • 12
    • 85156219498 scopus 로고    scopus 로고
    • Active learning in multilayer perceptrons
    • D. Touretzky, M. Mozer, & M. Hasselmo (Eds.), Cambridge, MA: MIT Press
    • Fukumizu, K. (1996). Active learning in multilayer perceptrons. In D. Touretzky, M. Mozer, & M. Hasselmo (Eds.), Advances in neural information processing systems, 8 (pp. 295-301). Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 295-301
    • Fukumizu, K.1
  • 13
    • 0001942829 scopus 로고
    • Neural networks and the bias/variance dilemma
    • Geman, S., Bienenstock, E., & Doursat, R. (1992). Neural networks and the bias/variance dilemma. Neural Computation, 4(1), 1-58.
    • (1992) Neural Computation , vol.4 , Issue.1 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 14
    • 0038906937 scopus 로고    scopus 로고
    • Special issue on reinforcement learning
    • 2
    • Kaelbling, L. P. (Ed.). (1996). Special issue on reinforcement learning. Machine Learning, 22(1/2/3).
    • (1996) Machine Learning , vol.22 , Issue.1-3
    • Kaelbling, L.P.1
  • 17
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • MacKay, D. J. C. (1992). Information-based objective functions for active data selection. Neural Computation, 4(4), 590-604.
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • Mackay, D.J.C.1
  • 18
    • 84990697772 scopus 로고
    • Projection filter regularization of ill-conditioned problem
    • Ogawa, H. (1987). Projection filter regularization of ill-conditioned problem. Proceedings of SPIE, Inverse Problems in Optics, 808, 189-196.
    • (1987) Proceedings of SPIE, Inverse Problems in Optics , vol.808 , pp. 189-196
    • Ogawa, H.1
  • 24
    • 0000782519 scopus 로고
    • Query construction, entropy and generalization in neural network models
    • Sollich, P. (1994). Query construction, entropy and generalization in neural network models. Physical Review E, 49, 4637-4651.
    • (1994) Physical Review E , vol.49 , pp. 4637-4651
    • Sollich, P.1
  • 25
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, Series B, 36, 111-133.
    • (1974) Journal of the Royal Statistical Society, Series B , vol.36 , pp. 111-133
    • Stone, M.1
  • 27
    • 85037776412 scopus 로고    scopus 로고
    • Incremental projection learning for optimal generalization
    • Tokyo: Department of Computer Science, Tokyo Institute of Technology, Japan.
    • Sugiyama, M., & Ogawa, H. (1999b). Incremental projection learning for optimal generalization (Tech. Rep. No. TR99-0007). Tokyo: Department of Computer Science, Tokyo Institute of Technology, Japan. Available online at: ftp://ftp.cs.titech.ac.jp/pub/TR/99/TR99-0007.ps.gz.
    • (1999) Tech. Rep. No. TR99-0007
    • Sugiyama, M.1    Ogawa, H.2
  • 28
    • 85037764864 scopus 로고    scopus 로고
    • Properties of incremental projection learning
    • Tokyo: Department of Computer Science, Tokyo Institute of Technology, Japan.
    • Sugiyama, M., & Ogawa, H. (1999c). Properties of incremental projection learning (Tech. Rep. No. TR99-0008). Tokyo: Department of Computer Science, Tokyo Institute of Technology, Japan. Available online at: ftp://ftp.cs.titech.ac.jp/pub/TR/99/TR99-0008.ps.gz.
    • (1999) Tech. Rep. No. TR99-0008
    • Sugiyama, M.1    Ogawa, H.2
  • 29
    • 0006449485 scopus 로고    scopus 로고
    • Functional analytic approach to model selection - Subspace information criterion
    • Izu, Japan
    • Sugiyama, M., & Ogawa, H. (1999d). Functional analytic approach to model selection - subspace information criterion. In Proceedings of 1999 Workshop on Information-Based Induction Sciences (IBIS'99) (pp. 93-98). Izu, Japan. Available online at: ftp://ftp.cs.titech.ac.jp/pub/TR/99/TR99-0009.ps.gz.
    • (1999) Proceedings of 1999 Workshop on Information-based Induction Sciences (IBIS'99) , pp. 93-98
    • Sugiyama, M.1    Ogawa, H.2
  • 30
    • 0003371098 scopus 로고    scopus 로고
    • Training data selection for optimal generalization in trigonometric polynomial networks
    • In S. A. Solla, T. K. Leen, & K.-R. Müller (Eds.), Cambridge, MA: MIT Press
    • Sugiyama, M., & Ogawa, H. (2000). Training data selection for optimal generalization in trigonometric polynomial networks. In S. A. Solla, T. K. Leen, & K.-R. Müller (Eds.), Advances in neural information processing systems, 12 (pp. 624-630). Cambridge, MA: MIT Press.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 624-630
    • Sugiyama, M.1    Ogawa, H.2
  • 35
    • 0039499551 scopus 로고    scopus 로고
    • Training data selection for optimal generalization with noise variance reduction in neural networks
    • M. Marinaro & R. Tagliaferri (Eds.), Berlin: Springer-Verlag
    • Vijayakumar, S., Sugiyama, M., & Ogawa, H. (1998). Training data selection for optimal generalization with noise variance reduction in neural networks. In M. Marinaro & R. Tagliaferri (Eds.), Neural nets WIRN Vietri-98 (pp. 153-166). Berlin: Springer-Verlag.
    • (1998) Neural Nets WIRN Vietri-98 , pp. 153-166
    • Vijayakumar, S.1    Sugiyama, M.2    Ogawa, H.3
  • 36
    • 0003466536 scopus 로고
    • Philadelphia: Society for Industrial and Applied Mathematics
    • Wahba, H. (1990). Spline model for observational data. Philadelphia: Society for Industrial and Applied Mathematics.
    • (1990) Spline Model for Observational Data
    • Wahba, H.1
  • 37
    • 0001420903 scopus 로고
    • Optimum image restoration and topological invariance
    • in Japanese
    • Yamashita, Y., & Ogawa, H. (1992). Optimum image restoration and topological invariance. The transactions of the IEICE D-II, J75-D-II(2), 306-313. (in Japanese)
    • (1992) The Transactions of the IEICE D-II , vol.J75-D-II , Issue.2 , pp. 306-313
    • Yamashita, Y.1    Ogawa, H.2
  • 38
    • 0347181543 scopus 로고    scopus 로고
    • Robust designs for fitting linear models with misspecification
    • Yue, R. X., & Hickernell, F. J. (1999). Robust designs for fitting linear models with misspecification. Statistica Sinica, 9, 1053-1069.
    • (1999) Statistica Sinica , vol.9 , pp. 1053-1069
    • Yue, R.X.1    Hickernell, F.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.