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Volumn 28, Issue 2, 2014, Pages 402-441

Repeated labeling using multiple noisy labelers

Author keywords

Active learning; Classification; Data preprocessing; Data selection; Human computation; Repeated labeling; Selective labeling

Indexed keywords

ACTIVE LEARNING; DATA PREPROCESSING; DATA SELECTION; HUMAN COMPUTATION; SELECTIVE LABELING;

EID: 84893707563     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-013-0306-1     Document Type: Article
Times cited : (147)

References (54)
  • 1
    • 21844444960 scopus 로고    scopus 로고
    • Online choice of active learning algorithms
    • 2247981
    • Baram Y, El-Yaniv R, Luz K (2004) Online choice of active learning algorithms. J Mach Learn Res 5:255-291
    • (2004) J Mach Learn Res , vol.5 , pp. 255-291
    • Baram, Y.1    El-Yaniv, R.2    Luz, K.3
  • 3
    • 3042597440 scopus 로고    scopus 로고
    • Learning multi-label scene classification
    • 10.1016/j.patcog.2004.03.009
    • Boutell MR, Luo J, Shen X, Brown CM (2004) Learning multi-label scene classification. Pattern Recognit 37(9):1757-1771
    • (2004) Pattern Recognit , vol.37 , Issue.9 , pp. 1757-1771
    • Boutell, M.R.1    Luo, J.2    Shen, X.3    Brown, C.M.4
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • 10.1023/A:1010933404324 1007.68152
    • Breiman L (2001) Random forests. Mach Learn 45(1):5-32
    • (2001) Mach Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 0000046054 scopus 로고    scopus 로고
    • Identifying mislabeled training data
    • 0924.68158
    • Brodley CE, Friedl MA (1999) Identifying mislabeled training data. J Artif Intell Res 11:131-167
    • (1999) J Artif Intell Res , vol.11 , pp. 131-167
    • Brodley, C.E.1    Friedl, M.A.2
  • 7
    • 0000175371 scopus 로고
    • Unanimity and compromise among probability forecasters
    • 10.1287/mnsc.36.7.767 0722.62004
    • Clemen RT, Winkler RL (1990) Unanimity and compromise among probability forecasters. Manag Sci 36(7):767-779
    • (1990) Manag Sci , vol.36 , Issue.7 , pp. 767-779
    • Clemen, R.T.1    Winkler, R.L.2
  • 8
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • Cohn DA, Atlas LE, Ladner RE (1994) Improving generalization with active learning. Mach Learn 15(2):201-221
    • (1994) Mach Learn , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.A.1    Atlas, L.E.2    Ladner, R.E.3
  • 9
    • 0003102944 scopus 로고
    • Maximum likelihood estimation of observer error-rates using the em algorithm
    • 10.2307/2346806
    • Dawid AP, Skene AM (1979) Maximum likelihood estimation of observer error-rates using the EM algorithm. Appl Stat 28(1):20-28
    • (1979) Appl Stat , vol.28 , Issue.1 , pp. 20-28
    • Dawid, A.P.1    Skene, A.M.2
  • 20
    • 0026712043 scopus 로고
    • Learning with an unreliable teacher
    • 10.1016/0031-3203(92)90008-7 1145407
    • Lugosi G (1992) Learning with an unreliable teacher. Pattern Recognit 25(1):79-87
    • (1992) Pattern Recognit , vol.25 , Issue.1 , pp. 79-87
    • Lugosi, G.1
  • 23
    • 0003223784 scopus 로고    scopus 로고
    • Multi-label text classification with a mixture model trained by em
    • McCallum A (1999) Multi-label text classification with a mixture model trained by EM. In: AAAI'99 workshop on text learning
    • (1999) AAAI'99 Workshop on Text Learning
    • McCallum, A.1
  • 29
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81-106
    • (1986) Mach Learn , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 34
    • 1242285091 scopus 로고    scopus 로고
    • Active sampling for class probability estimation and ranking
    • 10.1023/B:MACH.0000011806.12374.c3 1057.68089
    • Saar-Tsechansky M, Provost F (2004) Active sampling for class probability estimation and ranking. Mach Learn 54(2):153-178
    • (2004) Mach Learn , vol.54 , Issue.2 , pp. 153-178
    • Saar-Tsechansky, M.1    Provost, F.2
  • 37
    • 0018997673 scopus 로고
    • Some asymptotic properties of the probabilistic teacher
    • 10.1109/TIT.1980.1056150 0428.62026
    • Silverman BW (1980) Some asymptotic properties of the probabilistic teacher. IEEE Trans Inf Theory 26(2):246-249
    • (1980) IEEE Trans Inf Theory , vol.26 , Issue.2 , pp. 246-249
    • Silverman, B.W.1
  • 39
    • 0030262498 scopus 로고    scopus 로고
    • Bounds on the mean classification error rate of multiple experts
    • 10.1016/0167-8655(96)00105-5
    • Smyth P (1996) Bounds on the mean classification error rate of multiple experts. Pattern Recognit Lett 17(12):1253-1257
    • (1996) Pattern Recognit Lett , vol.17 , Issue.12 , pp. 1253-1257
    • Smyth, P.1
  • 43
    • 0036565589 scopus 로고    scopus 로고
    • An instance-weighting method to induce cost-sensitive trees
    • 10.1109/TKDE.2002.1000348
    • Ting KM (2002) An instance-weighting method to induce cost-sensitive trees. IEEE Trans Knowl Data Eng 14(3):659-665
    • (2002) IEEE Trans Knowl Data Eng , vol.14 , Issue.3 , pp. 659-665
    • Ting, K.M.1
  • 44
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • Turney PD (1995) Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm. J Artif Intell Res 2:369-409
    • (1995) J Artif Intell Res , vol.2 , pp. 369-409
    • Turney, P.D.1
  • 48
    • 1442275185 scopus 로고    scopus 로고
    • Learning when training data are costly: The effect of class distribution on tree induction
    • 1046.68094
    • Weiss GM, Provost FJ (2003) Learning when training data are costly: the effect of class distribution on tree induction. J Artif Intell Res 19:315-354
    • (2003) J Artif Intell Res , vol.19 , pp. 315-354
    • Weiss, G.M.1    Provost, F.J.2
  • 50
    • 0000529562 scopus 로고
    • Some general points in the theory of optimal experimental design
    • 0282.62065 356388
    • Whittle P (1973) Some general points in the theory of optimal experimental design. J R Stat Soc Ser B 35(1):123-130
    • (1973) J R Stat Soc ser B , vol.35 , Issue.1 , pp. 123-130
    • Whittle, P.1
  • 53
    • 33646372465 scopus 로고    scopus 로고
    • Selectively acquiring customer information: A new data acquisition problem and an active learning-based solution
    • 10.1287/mnsc.1050.0488
    • Zheng Z, Padmanabhan B (2006) Selectively acquiring customer information: a new data acquisition problem and an active learning-based solution. Manag Sci 52(5):697-712
    • (2006) Manag Sci , vol.52 , Issue.5 , pp. 697-712
    • Zheng, Z.1    Padmanabhan, B.2
  • 54
    • 28244453154 scopus 로고    scopus 로고
    • Cost-constrained data acquisition for intelligent data preparation
    • 10.1109/TKDE.2005.176
    • Zhu X, Wu X (2005) Cost-constrained data acquisition for intelligent data preparation. IEEE Trans Knowl Data Eng 17(11):1542-1556
    • (2005) IEEE Trans Knowl Data Eng , vol.17 , Issue.11 , pp. 1542-1556
    • Zhu, X.1    Wu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.