메뉴 건너뛰기




Volumn 37, Issue 3, 1999, Pages 337-354

Complexity of learning according to two models of a drifting environment

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; THEOREM PROVING;

EID: 0033281653     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007666507971     Document Type: Article
Times cited : (26)

References (32)
  • 6
    • 0013454820 scopus 로고    scopus 로고
    • On the complexity of learning from drifting distributions
    • Barve, R.D., & Long, P.M. (1997). On the complexity of learning from drifting distributions. Information and Computation, 138(2), 101-123.
    • (1997) Information and Computation , vol.138 , Issue.2 , pp. 101-123
    • Barve, R.D.1    Long, P.M.2
  • 8
    • 0024750852 scopus 로고
    • Learnability and the Vapnik-Chervonenkis dimension
    • Blumer, A., Ehrenfeucht, A., Haussler, D., & Warmuth, M.K. (1989). Learnability and the Vapnik-Chervonenkis dimension. JACM, 36(4), 929-965.
    • (1989) JACM , vol.36 , Issue.4 , pp. 929-965
    • Blumer, A.1    Ehrenfeucht, A.2    Haussler, D.3    Warmuth, M.K.4
  • 11
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • Haussler, D. (1992). Decision theoretic generalizations of the PAC model for neural net and other learning applications. Information and Computation, 100(1), 78-150.
    • (1992) Information and Computation , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 12
    • 0000996139 scopus 로고
    • Sphere packing numbers for subsets of the boolean n-cube with bounded Vapnik-Chervonenkis dimension
    • Haussler, D. (1995). Sphere packing numbers for subsets of the boolean n-cube with bounded Vapnik-Chervonenkis dimension. Journal of Combinatorial Theory, Series A, 69(2), 217-232.
    • (1995) Journal of Combinatorial Theory, Series A , vol.69 , Issue.2 , pp. 217-232
    • Haussler, D.1
  • 14
    • 0002896413 scopus 로고
    • Tracking drifting concepts by minimizing disagreements
    • Helmbold, D.P., & Long, P.M. (1994). Tracking drifting concepts by minimizing disagreements. Machine Learning, 14(1), 27-46.
    • (1994) Machine Learning , vol.14 , Issue.1 , pp. 27-46
    • Helmbold, D.P.1    Long, P.M.2
  • 19
    • 0031101747 scopus 로고    scopus 로고
    • Comparison of tracking algorithms for single layer threshold networks in the presence of random drift
    • Kuh, A. (1997). Comparison of tracking algorithms for single layer threshold networks in the presence of random drift. IEEE Trans. on Signal Processing, 45(3), 640-650.
    • (1997) IEEE Trans. on Signal Processing , vol.45 , Issue.3 , pp. 640-650
    • Kuh, A.1
  • 20
    • 0141741870 scopus 로고
    • Learning time varying concepts
    • Morgan Kaufmann
    • Kuh, A., Petsche, T., & Rivest, R. (1990). Learning time varying concepts In NIPS3. Morgan Kaufmann.
    • (1990) NIPS3
    • Kuh, A.1    Petsche, T.2    Rivest, R.3
  • 21
    • 0141741870 scopus 로고
    • Mistake bounds of incremental learners when concepts drift with applications to feedforward networks
    • Morgan Kaufmann
    • Kuh, A., Petsche, T., & Rivest, R. (1991). Mistake bounds of incremental learners when concepts drift with applications to feedforward networks. In NIPS4. Morgan Kaufmann.
    • (1991) NIPS4
    • Kuh, A.1    Petsche, T.2    Rivest, R.3
  • 27
    • 0001703864 scopus 로고
    • On the density of families of sets
    • Sauer, N. (1972). On the density of families of sets. J. Combinatorial Theory (A), 13, 145-147.
    • (1972) J. Combinatorial Theory (A) , vol.13 , pp. 145-147
    • Sauer, N.1
  • 28
    • 84972576948 scopus 로고
    • A combinatorial problem; stability and order for models and theories in infinitary languages
    • Shelah, S. (1972). A combinatorial problem; stability and order for models and theories in infinitary languages. Pacific J. Math., 41, 247-261.
    • (1972) Pacific J. Math. , vol.41 , pp. 247-261
    • Shelah, S.1
  • 29
    • 0030128944 scopus 로고    scopus 로고
    • General lower bounds on the number of examples needed for learning probabilistic concepts
    • Simon, H.U. (1996. General lower bounds on the number of examples needed for learning probabilistic concepts. Journal of Computer and System Sciences, 52(2), 239-254.
    • (1996) Journal of Computer and System Sciences , vol.52 , Issue.2 , pp. 239-254
    • Simon, H.U.1
  • 30
    • 0001957366 scopus 로고
    • Sharper bounds for Gaussian and empirical processes
    • Talagrand, M. (1994). Sharper bounds for Gaussian and empirical processes. Annals of Probability, 22, 28-76.
    • (1994) Annals of Probability , vol.22 , pp. 28-76
    • Talagrand, M.1
  • 31
    • 0031194820 scopus 로고    scopus 로고
    • Performance bounds for single layer threshold networks when tracking a drifting adversary
    • Tian, X., & Kuh, A. (1997). Performance bounds for single layer threshold networks when tracking a drifting adversary. Neural Networks, 10(5), 897-906.
    • (1997) Neural Networks , vol.10 , Issue.5 , pp. 897-906
    • Tian, X.1    Kuh, A.2
  • 32
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their probabilities
    • Vapnik, V.N., & Chervonenkis, A.Y. (1971). On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications, 16(2), 264-280
    • (1971) Theory of Probability and Its Applications , vol.16 , Issue.2 , pp. 264-280
    • Vapnik, V.N.1    Chervonenkis, A.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.