메뉴 건너뛰기




Volumn 16, Issue 3, 2007, Pages 267-293

Learning with partly labeled data

Author keywords

Classification; Clustering; Ensemble classifier; Pre labeling; Semi supervised learning

Indexed keywords


EID: 34547536589     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-007-0091-0     Document Type: Article
Times cited : (15)

References (58)
  • 1
    • 0036489378 scopus 로고    scopus 로고
    • A modified fuzzy c-means algorithm for bias field estimation and segmentation of mri data
    • 3
    • Ahmed M, Yamany S, Mohamed N, Farag A, Moriarty T (2002) A modified fuzzy c-means algorithm for bias field estimation and segmentation of mri data. IEEE Trans Med Imaging 21(3):193-199
    • (2002) IEEE Trans Med Imaging , vol.21 , pp. 193-199
    • Ahmed, M.1    Yamany, S.2    Mohamed, N.3    Farag, A.4    Moriarty, T.5
  • 4
    • 0025897859 scopus 로고
    • Neural net algorithms that learn in polynomial time from examples and queries
    • 1
    • Baum E (1991) Neural net algorithms that learn in polynomial time from examples and queries. IEEE Trans Neural Netw 2(1):5-19
    • (1991) IEEE Trans Neural Netw , vol.2 , pp. 5-19
    • Baum, E.1
  • 15
    • 33646589004 scopus 로고    scopus 로고
    • Enhancement of fuzzy clustering by mechanisms of partial supervision
    • 13
    • Bouchachia A, Pedrycz W (2006) Enhancement of fuzzy clustering by mechanisms of partial supervision. Int J Fuzzy Sets Syst 157(13):1733-1759
    • (2006) Int J Fuzzy Sets Syst , vol.157 , pp. 1733-1759
    • Bouchachia, A.1    Pedrycz, W.2
  • 18
    • 0029305528 scopus 로고
    • Gaussain parsimonious clustering models
    • Celeux G, Govaert G (1995) Gaussain parsimonious clustering models. Pattern Recognit 28:781-793
    • (1995) Pattern Recognit , vol.28 , pp. 781-793
    • Celeux, G.1    Govaert, G.2
  • 25
    • 0032131702 scopus 로고    scopus 로고
    • Algorithms for model-based Gaussian hierarchical clustering
    • Fraley C (1998) Algorithms for model-based Gaussian hierarchical clustering. J Sci Comput 20:270-281
    • (1998) J Sci Comput , vol.20 , pp. 270-281
    • Fraley, C.1
  • 26
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • 1
    • Freund Y, Shapire R (1997) A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55(1):119-139
    • (1997) J Comput Syst Sci , vol.55 , pp. 119-139
    • Freund, Y.1    Shapire, R.2
  • 28
    • 0032207166 scopus 로고    scopus 로고
    • Comparing neural networks: A benchmark on growing neural gas, growing cell structures, and fuzzy artmap
    • Heinke D, Hamker F (1998) Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy artmap. IEEE Trans Neural Netw 9:1279-1291
    • (1998) IEEE Trans Neural Netw , vol.9 , pp. 1279-1291
    • Heinke, D.1    Hamker, F.2
  • 31
    • 84898950261 scopus 로고    scopus 로고
    • Maximum entropy discrimination
    • Jaakkola T, Meila M, Jebara T (1999) Maximum entropy discrimination. In: NIPS, pp 470-476
    • (1999) NIPS , pp. 470-476
    • Jaakkola, T.1    Meila, M.2    Jebara, T.3
  • 32
    • 0029372769 scopus 로고
    • Methods of combining experts probability assessments
    • Jacobs R (1995) Methods of combining experts probability assessments. Neural Comput 7:865-888
    • (1995) Neural Comput , vol.7 , pp. 865-888
    • Jacobs, R.1
  • 38
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: An experimental comparison
    • 2
    • Kuncheva L, Bezdek J, Duin R (2001) Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognit 34(2):299-314
    • (2001) Pattern Recognit , vol.34 , pp. 299-314
    • Kuncheva, L.1    Bezdek, J.2    Duin, R.3
  • 39
    • 0029373189 scopus 로고
    • Optimal combinations of pattern classifiers
    • Lam L, Suen C (1995) Optimal combinations of pattern classifiers. Pattern Recognit Lett 16:945-954
    • (1995) Pattern Recognit Lett , vol.16 , pp. 945-954
    • Lam, L.1    Suen, C.2
  • 40
    • 78049527893 scopus 로고    scopus 로고
    • Semi-supervised learning via Gaussian processes
    • Lawrence D, Jordan I (2005) Semi-supervised learning via Gaussian processes. In: NIPS, pp 753-760
    • (2005) NIPS , pp. 753-760
    • Lawrence, D.1    Jordan, I.2
  • 41
    • 84898980291 scopus 로고    scopus 로고
    • A mixture of experts classifiers with learning based on both labeled and unlabeled data
    • Miller D, Uyar H (1997) A mixture of experts classifiers with learning based on both labeled and unlabeled data. In: Neural information processing systems, pp 571-577
    • (1997) Neural Information Processing Systems , pp. 571-577
    • Miller, D.1    Uyar, H.2
  • 42
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody J, Darken C (1989) Fast learning in networks of locally-tuned processing units. Neural Comput 1:284-294
    • (1989) Neural Comput , vol.1 , pp. 284-294
    • Moody, J.1    Darken, C.2
  • 44
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • 2/3
    • Nigam K, McCallum A, Thrun S, Mitchell T (2000) Text classification from labeled and unlabeled documents using EM. Mach Learn 39(2/3):103-134
    • (2000) Mach Learn , vol.39 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 50
    • 85156203044 scopus 로고    scopus 로고
    • Information regularization with partially labeled data
    • Szummer M, Jaakkola T (2002) Information regularization with partially labeled data. Adv Neural Inf Process Syst 15:1025-1032
    • (2002) Adv Neural Inf Process Syst , vol.15 , pp. 1025-1032
    • Szummer, M.1    Jaakkola, T.2
  • 51
    • 0035576170 scopus 로고    scopus 로고
    • Using unlabeled data to train a multilayer perceptron
    • Verikas A, Gelzinis A, Malmqvist K (2001) Using unlabeled data to train a multilayer perceptron. Neural Process Lett 14:179-201
    • (2001) Neural Process Lett , vol.14 , pp. 179-201
    • Verikas, A.1    Gelzinis, A.2    Malmqvist, K.3
  • 55
    • 13844299022 scopus 로고    scopus 로고
    • A semi-supervised active learning algorithm for information extraction from textual data: Research articles
    • 3
    • Wu T, Pottenger W (2005) A semi-supervised active learning algorithm for information extraction from textual data: research articles. J ASIST 56(3):258-271
    • (2005) J ASIST , vol.56 , pp. 258-271
    • Wu, T.1    Pottenger, W.2
  • 56
    • 2142687208 scopus 로고    scopus 로고
    • A unified framework for model-based clustering
    • Zhong S, Ghosh J (2003) A unified framework for model-based clustering. J Mach Learn Res 4:1001-1037
    • (2003) J Mach Learn Res , vol.4 , pp. 1001-1037
    • Zhong, S.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.