메뉴 건너뛰기




Volumn 30, Issue 1, 2009, Pages 37-57

Enhancing and relaxing competitive units for feature discovery

Author keywords

Competitive learning; Feature detection; Mutual information; SOM

Indexed keywords

COMPETITIVE LEARNING; CONNECTION WEIGHTS; FEATURE DETECTION; FEATURE DISCOVERY; INFORMATION-THEORETIC METHODS; INPUT PATTERNS; MUTUAL INFORMATION; MUTUAL INFORMATION MAXIMIZATION; MUTUAL INFORMATIONS; OECD COUNTRIES; SOM;

EID: 68149181024     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-009-9109-1     Document Type: Article
Times cited : (6)

References (35)
  • 2
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • AJ Bell TJ Sejnowski 1995 An information-maximization approach to blind separation and blind deconvolution Neural Comput 7 6 1129 1159
    • (1995) Neural Comput , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 3
    • 0002515823 scopus 로고
    • Unsupervised mutual information criterion for elimination of overtraining in supervised multiplayer networks
    • G Deco W Finnof HG Zimmermann 1995 Unsupervised mutual information criterion for elimination of overtraining in supervised multiplayer networks Neural Comput 7 86 107
    • (1995) Neural Comput , vol.7 , pp. 86-107
    • Deco, G.1    Finnof, W.2    Zimmermann, H.G.3
  • 5
    • 3543121719 scopus 로고    scopus 로고
    • Lower and upper bounds for misclassification probability based on renyi's information
    • D Erdogmus J Principe 2004 Lower and upper bounds for misclassification probability based on renyi's information J VLST Signal Process Syst 37 2/3 305 317
    • (2004) J VLST Signal Process Syst , vol.37 , Issue.2-3 , pp. 305-317
    • Erdogmus, D.1    Principe, J.2
  • 8
    • 0023843391 scopus 로고
    • Analysis of hidden units in a layered network trained to classify sonar targets
    • RP Gorman TJ Sejnowski 1988 Analysis of hidden units in a layered network trained to classify sonar targets Neural Netw 1 75 89
    • (1988) Neural Netw , vol.1 , pp. 75-89
    • Gorman, R.P.1    Sejnowski, T.J.2
  • 9
    • 0005671334 scopus 로고    scopus 로고
    • The formation of topographic maps that maximize the average mutual information of the output responses to noiseless input signals
    • MMV Hulle 1997 The formation of topographic maps that maximize the average mutual information of the output responses to noiseless input signals Neural Comput 9 3 595 606
    • (1997) Neural Comput , vol.9 , Issue.3 , pp. 595-606
    • Hulle, M.M.V.1
  • 10
    • 0842343631 scopus 로고    scopus 로고
    • Information-theoretic competitive learning with inverse euclidean distance
    • R Kamimura 2003 Information-theoretic competitive learning with inverse euclidean distance Neural Processing Letters 18 163 184
    • (2003) Neural Processing Letters , vol.18 , pp. 163-184
    • Kamimura, R.1
  • 11
    • 0141689654 scopus 로고    scopus 로고
    • Progressive feature extraction by greedy network-growing algorithm
    • R Kamimura 2003 Progressive feature extraction by greedy network-growing algorithm Complex Systems 14 2 127 153
    • (2003) Complex Systems , vol.14 , Issue.2 , pp. 127-153
    • Kamimura, R.1
  • 12
    • 0035528493 scopus 로고    scopus 로고
    • Information theoretic competitive learning in self-adaptive multi-layered networks
    • R Kamimura 2003 Information theoretic competitive learning in self-adaptive multi-layered networks Connection Science 13 4 323 347
    • (2003) Connection Science , vol.13 , Issue.4 , pp. 323-347
    • Kamimura, R.1
  • 13
    • 27744599915 scopus 로고    scopus 로고
    • Unifying cost and information in information-theoretic competitive learning
    • R Kamimura 2006 Unifying cost and information in information-theoretic competitive learning Neural Netw 18 711 718
    • (2006) Neural Netw , vol.18 , pp. 711-718
    • Kamimura, R.1
  • 14
    • 33747068503 scopus 로고    scopus 로고
    • Cooperative information maximization with gauissian activation functions for self-organizing maps
    • R Kamimura 2006 Cooperative information maximization with gauissian activation functions for self-organizing maps IEEE Trans Neural Netw 17 4 909 919
    • (2006) IEEE Trans Neural Netw , vol.17 , Issue.4 , pp. 909-919
    • Kamimura, R.1
  • 15
    • 27344446063 scopus 로고    scopus 로고
    • Improving information-theoretic competitive learning by accentuated information maximization
    • DOI 10.1080/03081070500065759
    • R Kamimura 2006 Improving information-theoretic competitive learning by accentuated information maximization Int J Gen Syst 34 3 219 233 (Pubitemid 41523696)
    • (2005) International Journal of General Systems , vol.34 , Issue.3 , pp. 219-233
    • Kamimura, R.1
  • 16
    • 0035528493 scopus 로고    scopus 로고
    • Flexible feature discovery and structural information
    • R Kamimura T Kamimura O Uchida 2001 Flexible feature discovery and structural information Connection Science 13 4 323 347
    • (2001) Connection Science , vol.13 , Issue.4 , pp. 323-347
    • Kamimura, R.1    Kamimura, T.2    Uchida, O.3
  • 17
    • 0036626892 scopus 로고    scopus 로고
    • Greedy information acquisition algorithm: A new information theoretic approach to dynamic information acquisition in neural networks
    • R Kamimura T Kamimura H Takeuchi 2002 Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks Connection Science 14 2 137 162
    • (2002) Connection Science , vol.14 , Issue.2 , pp. 137-162
    • Kamimura, R.1    Kamimura, T.2    Takeuchi, H.3
  • 18
    • 0025447562 scopus 로고
    • A simple procedure for pruning back-propagation trained networks
    • ED Karnin 1990 A simple procedure for pruning back-propagation trained networks IEEE Trans Neural Netw 1 2 239 242
    • (1990) IEEE Trans Neural Netw , vol.1 , Issue.2 , pp. 239-242
    • Karnin, E.D.1
  • 22
    • 14844296969 scopus 로고    scopus 로고
    • Vector-quantization using information theoretic concepts
    • DET Lehn-Schioler Anant Hegde JC Principe 2004 Vector-quantization using information theoretic concepts Natural Comput 4 1 39 51
    • (2004) Natural Comput , vol.4 , Issue.1 , pp. 39-51
    • Lehn-Schioler, D.E.T.1    Anant, H.2    Principe, J.C.3
  • 23
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • R Linsker 1988 Self-organization in a perceptual network Computer 21 105 117
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 24
    • 0000353243 scopus 로고
    • How to generate ordered maps by maximizing the mutual information between input and output
    • R Linsker 1989 How to generate ordered maps by maximizing the mutual information between input and output Neural Comput 1 402 411
    • (1989) Neural Comput , vol.1 , pp. 402-411
    • Linsker, R.1
  • 25
    • 0003161471 scopus 로고    scopus 로고
    • Properties of the generalized lotto-type competitive learning
    • Morgan Kaufmann Publishers, San Mateo: CA
    • Luk A, Lien S (2000) Properties of the generalized lotto-type competitive learning. In: Proceedings of International conference on neural information processing, Morgan Kaufmann Publishers, San Mateo: CA, pp 1180-1185
    • (2000) Proceedings of International Conference on Neural Information Processing , pp. 1180-1185
    • Luk, A.1    Lien, S.2
  • 26
    • 0035221306 scopus 로고    scopus 로고
    • Analysis of the internal representations developed by neural networks for structures applied to quantitative structure-activity relationship studies of benzodiazepines
    • A Micheli A Sperduti A. Starita 2001 Analysis of the internal representations developed by neural networks for structures applied to quantitative structure-activity relationship studies of benzodiazepines J Chem Inf Comput Sci 41 202 218
    • (2001) J Chem Inf Comput Sci , vol.41 , pp. 202-218
    • Micheli, A.1    Sperduti, A.2    Starita, A.3
  • 27
    • 84892167083 scopus 로고
    • Using relevance to reduce network size automatically
    • MC Mozer P Smolensky 1989 Using relevance to reduce network size automatically Connection Science 1 1 3 16
    • (1989) Connection Science , vol.1 , Issue.1 , pp. 3-16
    • Mozer, M.C.1    Smolensky, P.2
  • 28
    • 0027662338 scopus 로고
    • Pruning algorithms-a survey
    • R Reed 1993 Pruning algorithms-a survey IEEE Trans Neural Netw 4 5 740 747
    • (1993) IEEE Trans Neural Netw , vol.4 , Issue.5 , pp. 740-747
    • Reed, R.1
  • 29
    • 0000646059 scopus 로고
    • Learning internal representations by error progagation
    • MIT Press Cambridge
    • Rumelhart DE, Hinton GE, Williams RJ et al (1986) Learning internal representations by error progagation. In: Rumelhart DE, McClelland JL (eds) Parallel distributed processing vol.1. MIT Press, Cambridge, pp 318-362
    • (1986) Parallel Distributed Processing vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 31
    • 0027678679 scopus 로고
    • Extracting rules from knowledge-based neural networks
    • GG Towell JW Shavlik 1993 Extracting rules from knowledge-based neural networks Mach Learn 13 71 101
    • (1993) Mach Learn , vol.13 , pp. 71-101
    • Towell, G.G.1    Shavlik, J.W.2
  • 32
    • 1942450610 scopus 로고    scopus 로고
    • Feature extraction by non-parametric mutual information maximization
    • K Torkkola 2003 Feature extraction by non-parametric mutual information maximization J Mach Learn Res 3 1415 1438
    • (2003) J Mach Learn Res , vol.3 , pp. 1415-1438
    • Torkkola, K.1
  • 33
    • 0034187784 scopus 로고    scopus 로고
    • Clustering of the self-organizing map
    • J Vesanto E Alhoniemi 2000 Clustering of the self-organizing map IEEE-NN 11 586
    • (2000) IEEE-NN , vol.11 , pp. 586
    • Vesanto, J.1    Alhoniemi, E.2
  • 34
    • 38049168357 scopus 로고    scopus 로고
    • SOM-based data visualization methods
    • J Vesanto 1999 SOM-based data visualization methods Intelligent-Data- Analysis 3 111 126
    • (1999) Intelligent-Data-Analysis , vol.3 , pp. 111-126
    • Vesanto, J.1
  • 35
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
    • L Xu 1993 Rival penalized competitive learning for clustering analysis, RBF net, and curve detection IEEE Trans Neural Netw 4 4 636 649
    • (1993) IEEE Trans Neural Netw , vol.4 , Issue.4 , pp. 636-649
    • Xu, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.