메뉴 건너뛰기




Volumn 20, Issue 7, 2011, Pages 1061-1074

An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network

Author keywords

Active learning; Online incremental learning; Self organizing incremental neural network; Semi supervised learning

Indexed keywords

ACTIVE LEARNING; ARTIFICIAL DATA; INPUT DATAS; ONLINE INCREMENTAL LEARNING; PRIOR KNOWLEDGE; REAL WORLD DATA; SELF-ORGANIZING INCREMENTAL NEURAL NETWORK; SEMI-SUPERVISED ACTIVE LEARNING; SEMI-SUPERVISED LEARNING; SINGLE LAYER; SUB-CLUSTERS; TOPOLOGICAL STRUCTURE; TWO LAYERS; UNLABELED SAMPLES;

EID: 80052816923     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0428-y     Document Type: Article
Times cited : (39)

References (29)
  • 1
    • 9244243116 scopus 로고    scopus 로고
    • Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction
    • Cohen I, Cozman FG, Sebe N, Cirelo MC, Huang TS (2004) Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction. IEEE Trans Pattern Anal Mach Intell 26(12): 1553-1566.
    • (2004) IEEE Trans Pattern Anal Mach Intell , vol.26 , Issue.12 , pp. 1553-1566
    • Cohen, I.1    Cozman, F.G.2    Sebe, N.3    Cirelo, M.C.4    Huang, T.S.5
  • 2
    • 33746256215 scopus 로고    scopus 로고
    • A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification
    • Baraldi A, Bruzzone L, Blonda P (2006) A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. IEEE Trans Image Process 15(8): 2208-2225.
    • (2006) IEEE Trans Image Process , vol.15 , Issue.8 , pp. 2208-2225
    • Baraldi, A.1    Bruzzone, L.2    Blonda, P.3
  • 3
    • 33846040203 scopus 로고    scopus 로고
    • A kernel approach for semisupervised metric learning
    • Yeung D-Y, Chang H (2007) A kernel approach for semisupervised metric learning. IEEE Trans Neural Netw 18(1): 141-149.
    • (2007) IEEE Trans Neural Netw , vol.18 , Issue.1 , pp. 141-149
    • Yeung, D.-Y.1    Chang, H.2
  • 4
    • 57949086833 scopus 로고    scopus 로고
    • A semi-supersized learning algorithm for growing neural gas in face recognition
    • Zaki SM, Yin H (2008) A semi-supersized learning algorithm for growing neural gas in face recognition. J Math Model Algorithms 7: 425-435.
    • (2008) J Math Model Algorithms , vol.7 , pp. 425-435
    • Zaki, S.M.1    Yin, H.2
  • 5
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Freund Y, Seung H, Shamir E, Tishby N (1997) Selective sampling using the query by committee algorithm. Mach Learn 28: 133-168.
    • (1997) Mach Learn , vol.28 , pp. 133-168
    • Freund, Y.1    Seung, H.2    Shamir, E.3    Tishby, N.4
  • 7
    • 0742301742 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data using a minimal number of queries
    • Kothari R, Jain V (2003) Learning from labeled and unlabeled data using a minimal number of queries. IEEE Trans Neural Netw 14(6): 1496-1505.
    • (2003) IEEE Trans Neural Netw , vol.14 , Issue.6 , pp. 1496-1505
    • Kothari, R.1    Jain, V.2
  • 10
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam K, McCallum AK, Thrum S, Mitchell T (2000) Text classification from labeled and unlabeled documents using em. Mach Learn 39: 103-134.
    • (2000) Mach Learn , vol.39 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrum, S.3    Mitchell, T.4
  • 16
    • 56249141770 scopus 로고    scopus 로고
    • An active learning framework for semi-supervised document clustering with language modeling
    • Huang R, Lam W (2009) An active learning framework for semi-supervised document clustering with language modeling. Data Knowl Eng 68(1): 49-67.
    • (2009) Data Knowl Eng , vol.68 , Issue.1 , pp. 49-67
    • Huang, R.1    Lam, W.2
  • 17
    • 68549086546 scopus 로고    scopus 로고
    • Semi-supervised SVM batch mode active learning with applications to image retrieval
    • Hoi SCH, Jin R, Zhu J, Lyu MR (2009) Semi-supervised SVM batch mode active learning with applications to image retrieval. ACM Trans Inf Syst 27(3): 16: 1-16: 29.
    • (2009) ACM Trans Inf Syst , vol.27 , Issue.3 , pp. 1-29
    • Hoi, S.C.H.1    Jin, R.2    Zhu, J.3    Lyu, M.R.4
  • 18
    • 0023981451 scopus 로고
    • The art of adaptive pattern recognition by a self-organizing neural network
    • Carpenter GA, Grossberg S (1988) The art of adaptive pattern recognition by a self-organizing neural network. IEEE Comput 21: 77-88.
    • (1988) IEEE Comput , vol.21 , pp. 77-88
    • Carpenter, G.A.1    Grossberg, S.2
  • 19
    • 30644459258 scopus 로고    scopus 로고
    • An incremental network for on-line unsupervised classification and topology learning
    • Shen F, Hasegawa O (2006) An incremental network for on-line unsupervised classification and topology learning. Neural Netw 19: 90-106.
    • (2006) Neural Netw , vol.19 , pp. 90-106
    • Shen, F.1    Hasegawa, O.2
  • 20
    • 80052800199 scopus 로고    scopus 로고
    • An incremental neural network for online supervised learning and topology learning
    • Kamiya Y, Shen F, Hasegawa O (2007) An incremental neural network for online supervised learning and topology learning. J Adv Comput Intell Intell Inform 11(1): 87-95.
    • (2007) J Adv Comput Intell Intell Inform , vol.11 , Issue.1 , pp. 87-95
    • Kamiya, Y.1    Shen, F.2    Hasegawa, O.3
  • 21
    • 56949095848 scopus 로고    scopus 로고
    • A fast nearest neighbor classifier based on self-organizing incremental neural network
    • Shen F, Hasegawa O (2008) A fast nearest neighbor classifier based on self-organizing incremental neural network. Neural Netw 21: 1537-1547.
    • (2008) Neural Netw , vol.21 , pp. 1537-1547
    • Shen, F.1    Hasegawa, O.2
  • 23
    • 70649092385 scopus 로고    scopus 로고
    • An online incremental learning pattern-based reasoning system
    • Shen F, Sudo A, Hasegawa O (2010) An online incremental learning pattern-based reasoning system. Neural Netw 23(1): 135-143.
    • (2010) Neural Netw , vol.23 , Issue.1 , pp. 135-143
    • Shen, F.1    Sudo, A.2    Hasegawa, O.3
  • 24
    • 34848927515 scopus 로고    scopus 로고
    • An enhanced self-organizing incremental neural network for online unsupervised learning
    • Shen F, Ogura T, Hasegawa O (2007) An enhanced self-organizing incremental neural network for online unsupervised learning. Neural Netw 20: 893-903.
    • (2007) Neural Netw , vol.20 , pp. 893-903
    • Shen, F.1    Ogura, T.2    Hasegawa, O.3
  • 25
    • 34047187932 scopus 로고    scopus 로고
    • Developmental word grounding through a growing neural network with a humanoid robot
    • He X, Kojima R, Hasegawa O (2007) Developmental word grounding through a growing neural network with a humanoid robot. IEEE Trans Syst Man Cybern B 37(2): 451-462.
    • (2007) IEEE Trans Syst Man Cybern B , vol.37 , Issue.2 , pp. 451-462
    • He, X.1    Kojima, R.2    Hasegawa, O.3
  • 26
    • 35148857941 scopus 로고    scopus 로고
    • Developmental word acquisition and grammar learning by humanoid robots through a self-organizing incremental neural network
    • He X, Ogura T, Satou A, Hasegawa O (2007) Developmental word acquisition and grammar learning by humanoid robots through a self-organizing incremental neural network. IEEE Trans Syst Man Cybern B 37(5): 1357-1372.
    • (2007) IEEE Trans Syst Man Cybern B , vol.37 , Issue.5 , pp. 1357-1372
    • He, X.1    Ogura, T.2    Satou, A.3    Hasegawa, O.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.