메뉴 건너뛰기




Volumn 2, Issue , 2003, Pages 624-631

Learning with Knowledge from Multiple Experts

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COST BENEFIT ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REDUNDANCY;

EID: 1942516830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (75)

References (30)
  • 1
    • 85152572133 scopus 로고
    • Knowledge intensive concept induction
    • Bergadano, F., & Giordana, A. (1988). Knowledge intensive concept induction. ICML-88 (pp. 305-317).
    • (1988) ICML-88 , pp. 305-317
    • Bergadano, F.1    Giordana, A.2
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging predictors. Mach. Learn., 24.
    • (1996) Mach. Learn. , vol.24
    • Breiman, L.1
  • 3
    • 0242445863 scopus 로고    scopus 로고
    • Revenge of the know-it-alls: Inside the Web's free-advice revolution
    • Frauenfelder, M. (2000). Revenge of the know-it-alls: Inside the Web's free-advice revolution. Wired, 8,144-158.
    • (2000) Wired , vol.8 , pp. 144-158
    • Frauenfelder, M.1
  • 4
    • 0001538462 scopus 로고
    • Group consensus probability distributions
    • Elsevier
    • French, S. (1985). Group consensus probability distributions. In Bayesian statistics 2, 183-202. Elsevier.
    • (1985) Bayesian Statistics , vol.2 , pp. 183-202
    • French, S.1
  • 5
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • Freund, Y., & Schapire, R. E. (1996). Experiments with a new boosting algorithm. ICML-96 (pp. 148-156).
    • (1996) ICML-96 , pp. 148-156
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 84972539429 scopus 로고
    • Combining probability distributions
    • Genest, C., & Zidek, J. V. (1986). Combining probability distributions. Statistical Science, 1, 114-148.
    • (1986) Statistical Science , vol.1 , pp. 114-148
    • Genest, C.1    Zidek, J.V.2
  • 7
    • 0025507176 scopus 로고
    • Neural network ensembles
    • Hansen, L. K., & Salamon, P. (1990). Neural network ensembles. IEEE Trans. PAMI, 12, 993-1000.
    • (1990) IEEE Trans. PAMI , vol.12 , pp. 993-1000
    • Hansen, L.K.1    Salamon, P.2
  • 9
    • 0000045489 scopus 로고
    • Some practical issues in constructing belief networks
    • Henrion, M. (1987). Some practical issues in constructing belief networks. UAI-87 (pp. 161-173).
    • (1987) UAI-87 , pp. 161-173
    • Henrion, M.1
  • 11
    • 8344221410 scopus 로고    scopus 로고
    • Constraints as data: A new perspective on inferring probabilities
    • Jaeger, M. (2001). Constraints as data: A new perspective on inferring probabilities. IJCAI-01 (pp. 755-760).
    • (2001) IJCAI-01 , pp. 755-760
    • Jaeger, M.1
  • 13
    • 0001009880 scopus 로고
    • Reconciliation of discrete probability distributions
    • Elsevier
    • Lindley, D. V. (1985). Reconciliation of discrete probability distributions. In Bayesian statistics 2, 375-390. Elsevier.
    • (1985) Bayesian Statistics , vol.2 , pp. 375-390
    • Lindley, D.V.1
  • 14
    • 1942450074 scopus 로고
    • Special issue on knowledge acquisition
    • Marcus, S. (ed.) (1989). Special issue on knowledge acquisition. Mach. Learn., 4.
    • (1989) Mach. Learn. , vol.4
    • Marcus, S.1
  • 15
    • 0012330920 scopus 로고    scopus 로고
    • Improving text classification by shrinkage in a hierarchy of classes
    • McCallum, A., Rosenfeld, R., Mitchell, T., & Ng, A. Y. (1998). Improving text classification by shrinkage in a hierarchy of classes. ICML-98 (pp. 359-367).
    • (1998) ICML-98 , pp. 359-367
    • McCallum, A.1    Rosenfeld, R.2    Mitchell, T.3    Ng, A.Y.4
  • 17
    • 0028407918 scopus 로고
    • Theory refinement combining analytical and empirical methods
    • Ourston, D., & Mooney, R. J. (1994). Theory refinement combining analytical and empirical methods. Artif. Intel., 66, 273-309.
    • (1994) Artif. Intel. , vol.66 , pp. 273-309
    • Ourston, D.1    Mooney, R.J.2
  • 18
    • 8844261754 scopus 로고
    • The utility of knowledge in inductive learning
    • Pazzani, M., & Kibler, D. (1992). The utility of knowledge in inductive learning. Mach. Learn., 9, 57-94.
    • (1992) Mach. Learn. , vol.9 , pp. 57-94
    • Pazzani, M.1    Kibler, D.2
  • 19
    • 1942418451 scopus 로고    scopus 로고
    • Comprehensible knowledge discovery in databases
    • Pazzani, M., Mani, S., & Shankle, W. R. (1997). Comprehensible knowledge discovery in databases. CogSci-97.
    • (1997) CogSci-97
    • Pazzani, M.1    Mani, S.2    Shankle, W.R.3
  • 21
    • 12244256563 scopus 로고    scopus 로고
    • Graphical representations of consensus belief
    • Pennock, D., & Wellman, M. (1999). Graphical representations of consensus belief. UAI-99 (pp. 531-540).
    • (1999) UAI-99 , pp. 531-540
    • Pennock, D.1    Wellman, M.2
  • 22
    • 0035788908 scopus 로고    scopus 로고
    • Extracting collective probabilistic forecasts from Web games
    • Pennock, D. M., Nielsen, F. A., & Giles, C. L. (2001). Extracting collective probabilistic forecasts from Web games. KDD-2001 (pp. 174-183).
    • (2001) KDD-2001 , pp. 174-183
    • Pennock, D.M.1    Nielsen, F.A.2    Giles, C.L.3
  • 25
    • 10044268817 scopus 로고    scopus 로고
    • Building large knowledge bases by mass collaboration
    • Dept. CSE, Univ. Washington, Seattle, WA
    • Richardson, M., & Domingos, P. (2003). Building large knowledge bases by mass collaboration. Tech. Rept. 03-02-04, Dept. CSE, Univ. Washington, Seattle, WA.
    • (2003) Tech. Rept. 03-02-04
    • Richardson, M.1    Domingos, P.2
  • 27
    • 1942450072 scopus 로고    scopus 로고
    • Using open data collection for intelligent software
    • Stork, D. G. (2000). Using open data collection for intelligent software. IEEE Computer, 33, 104-106.
    • (2000) IEEE Computer , vol.33 , pp. 104-106
    • Stork, D.G.1
  • 28
    • 0028529307 scopus 로고
    • Knowledge-based artificial neural networks
    • Towell, G. G., & Shavlik, J. W. (1994). Knowledge-based artificial neural networks. Artif. Intel., 70, 119-165.
    • (1994) Artif. Intel. , vol.70 , pp. 119-165
    • Towell, G.G.1    Shavlik, J.W.2
  • 29
    • 0016264378 scopus 로고
    • Judgment under uncertainty
    • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty. Science, 185, 1124-1131.
    • (1974) Science , vol.185 , pp. 1124-1131
    • Tversky, A.1    Kahneman, D.2
  • 30
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D. (1992). Stacked generalization. Neural Networks, 5, 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.