메뉴 건너뛰기




Volumn 35, Issue 2, 2010, Pages 301-331

Noise reduction for instance-based learning with a local maximal margin approach

Author keywords

Editing techniques; k NN; Locality; Noise reduction; SVM

Indexed keywords

EDITING TECHNIQUES; K-NN; LOCALITY; NOISE REDUCTIONS; SVM;

EID: 77956266577     PISSN: 09259902     EISSN: 15737675     Source Type: Journal    
DOI: 10.1007/s10844-009-0101-z     Document Type: Article
Times cited : (42)

References (86)
  • 2
    • 35348902771 scopus 로고    scopus 로고
    • Fast nearest neighbor condensation for large data sets classification
    • 10.1109/TKDE.2007.190645
    • F Angiulli 2007 Fast nearest neighbor condensation for large data sets classification IEEE Transactions on Knowledge and Data Engineering 19 11 1450 1464 10.1109/TKDE.2007.190645
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.11 , pp. 1450-1464
    • Angiulli, F.1
  • 7
    • 84904790643 scopus 로고    scopus 로고
    • Evaluation of the highest probability SVM nearest neighbor classifier with variable relative error cost
    • Mountain View, California
    • Blanzieri, E.; & Bryl, A. (2007). Evaluation of the highest probability SVM nearest neighbor classifier with variable relative error cost. In Fourth conference on email and anti-spam, (CEAS 07). Mountain View, California.
    • (2007) Fourth Conference on Email and Anti-spam, (CEAS 07)
    • Blanzieri, E.1    Bryl, A.2
  • 9
    • 44049098082 scopus 로고    scopus 로고
    • Nearest neighbor classification of remote sensing images with the maximal margin principle
    • 10.1109/TGRS.2008.916090
    • E Blanzieri F Melgani 2008 Nearest neighbor classification of remote sensing images with the maximal margin principle IEEE Transactions on Geoscience and Remote Sensing 46 6 1804 1811 10.1109/TGRS.2008.916090
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.6 , pp. 1804-1811
    • Blanzieri, E.1    Melgani, F.2
  • 11
    • 0000876414 scopus 로고
    • Local learning algorithms
    • 10.1162/neco.1992.4.6.888
    • L Bottou V Vapnik 1992 Local learning algorithms Neural Computation 4 6 888 900 10.1162/neco.1992.4.6.888
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 13
    • 0036104537 scopus 로고    scopus 로고
    • Advances in instance selection for instance-based learning algorithms
    • 1027.68673 10.1023/A:1014043630878 1917935
    • H Brighton C Mellish 2002 Advances in instance selection for instance-based learning algorithms Data Mining and Knowledge Discovery 6 2 153 172 1027.68673 10.1023/A:1014043630878 1917935
    • (2002) Data Mining and Knowledge Discovery , vol.6 , Issue.2 , pp. 153-172
    • Brighton, H.1    Mellish, C.2
  • 14
    • 85118837783 scopus 로고
    • Addressing the selective superiority problem: Automatic algorithm/model class selection
    • Amherst, MA
    • Brodley, C. E. (1993). Addressing the selective superiority problem: Automatic algorithm/model class selection. In 10th international machine learning conference (ICML) (pp. 17-24). Amherst, MA.
    • (1993) 10th International Machine Learning Conference (ICML) , pp. 17-24
    • Brodley, C.E.1
  • 20
    • 0016127071 scopus 로고
    • Finding prototypes for nearest neighbor classifiers
    • 10.1109/T-C.1974.223827
    • CL Chang 1974 Finding prototypes for nearest neighbor classifiers IEEE Transactions on Computers C-23 11 1179 1184 10.1109/T-C.1974.223827
    • (1974) IEEE Transactions on Computers , Issue.11 , pp. 1179-1184
    • Chang, C.L.1
  • 21
    • 34047213517 scopus 로고    scopus 로고
    • The generalized condensed nearest neighbor rule as a data reduction method
    • IEEE Computer Society Washington, DC. 10.1109/ICPR.2006.1119
    • Chou, C. H.; Kuo, B. H.; & Chang, F. (2006). The generalized condensed nearest neighbor rule as a data reduction method. In 18th international conference on Pattern recognition (ICPR 06) (pp. 556-559). Washington, DC: IEEE Computer Society.
    • (2006) 18th International Conference on Pattern Recognition (ICPR 06) , pp. 556-559
    • Chou, C.H.1    Kuo, B.H.2    Chang, F.3
  • 22
    • 34249753618 scopus 로고
    • Support-vector networks
    • 0831.68098
    • C Cortes V Vapnik 1995 Support-vector networks Machine Learning 20 3 273 297 0831.68098
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 24
    • 67349236497 scopus 로고    scopus 로고
    • Textual case-based reasoning for spam filtering: A comparison of feature-based and feature-free approaches
    • 10.1007/s10462-007-9041-6
    • SJ Delany D Bridge 2006 Textual case-based reasoning for spam filtering: A comparison of feature-based and feature-free approaches Artificial Intelligence Review 26 1-2 75 87 10.1007/s10462-007-9041-6
    • (2006) Artificial Intelligence Review , vol.26 , Issue.12 , pp. 75-87
    • Delany, S.J.1    Bridge, D.2
  • 26
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • 2274360
    • J Demsar 2006 Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 1 30 2274360
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 27
    • 36049042890 scopus 로고    scopus 로고
    • Building CBR systems with jCOLIBRI
    • 1129.68080 10.1016/j.scico.2007.02.004 (special issue on Experimental Software and Toolkits)
    • B Díaz-Agudo P González-Calero J Recio-García A Sánchez 2007 Building CBR systems with jCOLIBRI Journal Science of Computer Programming 69 1-3 68 75 1129.68080 10.1016/j.scico.2007.02.004 (special issue on Experimental Software and Toolkits)
    • (2007) Journal Science of Computer Programming , vol.69 , Issue.13 , pp. 68-75
    • Díaz-Agudo, B.1    González-Calero, P.2    Recio-García, J.3    Sánchez, A.4
  • 28
    • 84943987463 scopus 로고
    • Multiple comparisons among means
    • 0103.37001 10.2307/2282330 124952
    • O Dunn 1961 Multiple comparisons among means Journal of the American Statistical Association 56 52 64 0103.37001 10.2307/2282330 124952
    • (1961) Journal of the American Statistical Association , vol.56 , pp. 52-64
    • Dunn, O.1
  • 29
    • 84944811700 scopus 로고
    • The use of ranks to avoid the assumption of normality implicit in the analysis of variance
    • 10.2307/2279372
    • M Friedman 1937 The use of ranks to avoid the assumption of normality implicit in the analysis of variance Journal of the American Statistical Association 32 675 701 10.2307/2279372
    • (1937) Journal of the American Statistical Association , vol.32 , pp. 675-701
    • Friedman, M.1
  • 30
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • 0063.01455 10.1214/aoms/1177731944
    • M Friedman 1940 A comparison of alternative tests of significance for the problem of m rankings The Annals of Mathematical Statistics 11 86 92 0063.01455 10.1214/aoms/1177731944
    • (1940) The Annals of Mathematical Statistics , vol.11 , pp. 86-92
    • Friedman, M.1
  • 31
    • 0034143132 scopus 로고    scopus 로고
    • Noise detection and elimination in data preprocessing: Experiments in medical domains
    • 10.1080/088395100117124
    • A Gamberger N Lavrac S Dzeroski 2000 Noise detection and elimination in data preprocessing: Experiments in medical domains Applied Artificial Intelligence 14 2 205 223 10.1080/088395100117124
    • (2000) Applied Artificial Intelligence , vol.14 , Issue.2 , pp. 205-223
    • Gamberger, A.1    Lavrac, N.2    Dzeroski, S.3
  • 32
    • 0015346497 scopus 로고
    • The reduced nearest neighbor rule
    • 10.1109/TIT.1972.1054809
    • G Gates 1972 The reduced nearest neighbor rule IEEE Transactions on Information Theory 18 3 431 433 10.1109/TIT.1972.1054809
    • (1972) IEEE Transactions on Information Theory , vol.18 , Issue.3 , pp. 431-433
    • Gates, G.1
  • 33
    • 0038259114 scopus 로고    scopus 로고
    • Classes of kernels for machine learning: A statistics perspective
    • 10.1162/15324430260185646
    • MG Genton 2001 Classes of kernels for machine learning: A statistics perspective Journal of Machine Learning Research 2 299 312 10.1162/ 15324430260185646
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 299-312
    • Genton, M.G.1
  • 34
    • 0021615874 scopus 로고
    • R-trees: A dynamic index structure for spatial searching
    • 10.1145/971697.602266
    • A Guttman 1984 R-trees: A dynamic index structure for spatial searching ACM Sigmod Record 14 2 47 57 10.1145/971697.602266
    • (1984) ACM Sigmod Record , vol.14 , Issue.2 , pp. 47-57
    • Guttman, A.1
  • 36
    • 84931162639 scopus 로고
    • The condensed nearest neighbor rule
    • 10.1109/TIT.1968.1054155
    • P Hart 1968 The condensed nearest neighbor rule IEEE Transactions on Information Theory 14 3 515 516 10.1109/TIT.1968.1054155
    • (1968) IEEE Transactions on Information Theory , vol.14 , Issue.3 , pp. 515-516
    • Hart, P.1
  • 37
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • 10.1109/72.991427
    • C Hsu C Lin 2002 A comparison of methods for multiclass support vector machines IEEE Transactions on Neural Networks 13 2 415 425 10.1109/72.991427
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.1    Lin, C.2
  • 38
    • 33644879771 scopus 로고    scopus 로고
    • Enhancing density-based data reduction using entropy
    • 10.1162/089976606775093927
    • D Huang TWS Chow 2005 Enhancing density-based data reduction using entropy Neural Computation 18 2 470 495 10.1162/089976606775093927
    • (2005) Neural Computation , vol.18 , Issue.2 , pp. 470-495
    • Huang, D.1    Chow, T.W.S.2
  • 39
    • 35048842249 scopus 로고    scopus 로고
    • Editing training data for knn classifiers with neural network ensemble
    • F. Yin J. Wang (eds). Springer New York
    • Jiang, Y.; & Zhou, Z. (2004). Editing training data for knn classifiers with neural network ensemble. In F. Yin, J. Wang, & Guo C. (Eds.), Advances in neural networks (ISNN 2004),LNCS (vol. 3173, pp. 356-361). New York: Springer.
    • (2004) Advances in Neural Networks (ISNN 2004),LNCS (Vol. 3173) , pp. 356-361
    • Jiang, Y.1    Zhou, Z.2
  • 41
    • 0019392071 scopus 로고
    • On the relation of performance to editing in nearest neighbor rules
    • 10.1016/0031-3203(81)90102-3
    • J Koplowitz TA Brown 1981 On the relation of performance to editing in nearest neighbor rules Pattern Recognition 13 3 251 255 10.1016/0031-3203(81) 90102-3
    • (1981) Pattern Recognition , vol.13 , Issue.3 , pp. 251-255
    • Koplowitz, J.1    Brown, T.A.2
  • 44
    • 0035479871 scopus 로고    scopus 로고
    • SSVM: A smooth support vector machine for classification
    • 1017.90105 10.1023/A:1011215321374 1849977
    • Y Lee O Mangasarian 2001 SSVM: A smooth support vector machine for classification Computational Optimization and Applications 20 1 5 22 1017.90105 10.1023/A:1011215321374 1849977
    • (2001) Computational Optimization and Applications , vol.20 , Issue.1 , pp. 5-22
    • Lee, Y.1    Mangasarian, O.2
  • 46
    • 34548160247 scopus 로고    scopus 로고
    • A note on Platt's probabilistic outputs for support vector machines
    • 10.1007/s10994-007-5018-6
    • HT Lin CJ Lin R Weng 2007 A note on Platt's probabilistic outputs for support vector machines Machine Learning 68 3 267 276 10.1007/s10994-007-5018-6
    • (2007) Machine Learning , vol.68 , Issue.3 , pp. 267-276
    • Lin, H.T.1    Lin, C.J.2    Weng, R.3
  • 47
    • 11344280625 scopus 로고    scopus 로고
    • Evaluation of noise reduction techniques in the splice junction recognition problem
    • 10.1590/S1415-47572004000400031
    • AC Lorena A Carvalho 2004 Evaluation of noise reduction techniques in the splice junction recognition problem Genetics and Molecular Biology 27 665 672 10.1590/S1415-47572004000400031
    • (2004) Genetics and Molecular Biology , vol.27 , pp. 665-672
    • Lorena, A.C.1    Carvalho, A.2
  • 48
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • 10.1162/neco.1995.7.1.72
    • DG Lowe 1995 Similarity metric learning for a variable-kernel classifier Neural Computation 7 1 72 85 10.1162/neco.1995.7.1.72
    • (1995) Neural Computation , vol.7 , Issue.1 , pp. 72-85
    • Lowe, D.G.1
  • 49
    • 33748659204 scopus 로고    scopus 로고
    • Detecting potential labeling errors in microarrays by data perturbation
    • 10.1093/bioinformatics/btl346
    • A Malossini E Blanzieri RT Ng 2006 Detecting potential labeling errors in microarrays by data perturbation Bioinformatics 22 17 2114 2121 10.1093/bioinformatics/btl346
    • (2006) Bioinformatics , vol.22 , Issue.17 , pp. 2114-2121
    • Malossini, A.1    Blanzieri, E.2    Ng, R.T.3
  • 54
    • 35449000094 scopus 로고    scopus 로고
    • Mining competent case bases for case-based reasoning
    • 1168.68487 10.1016/j.artint.2007.04.018 2375986
    • R Pan Q Yang SJ Pan 2007 Mining competent case bases for case-based reasoning Artificial Intelligence 171 16-17 1039 1068 1168.68487 10.1016/j.artint.2007.04.018 2375986
    • (2007) Artificial Intelligence , vol.171 , Issue.1617 , pp. 1039-1068
    • Pan, R.1    Yang, Q.2    Pan, S.J.3
  • 55
    • 10044241656 scopus 로고    scopus 로고
    • MBNR: Case-based reasoning with local feature weighting by neural network
    • 1101.68781 10.1023/B:APIN.0000043559.83167.3d
    • J Park K Im C Shin S Park 2004 MBNR: Case-based reasoning with local feature weighting by neural network Applied Intelligence 21 3 265 276 1101.68781 10.1023/B:APIN.0000043559.83167.3d
    • (2004) Applied Intelligence , vol.21 , Issue.3 , pp. 265-276
    • Park, J.1    Im, K.2    Shin, C.3    Park, S.4
  • 57
  • 60
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • P.J. Bartlett B. Schölkopf D. Schuurmans A.J. Smola (eds). MIT Boston
    • Platt, J. C. (1999b). Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In P. J. Bartlett, B. Schölkopf, D. Schuurmans, & A. J. Smola (Eds.), Advances in large margin classifiers (pp. 61-74). Boston: MIT.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1
  • 62
    • 0016569790 scopus 로고
    • An algorithm for a selective nearest neighbor decision rule
    • 0323.68023 10.1109/TIT.1975.1055464
    • G Ritter H Woodruff S Lowry T Isenhour 1975 An algorithm for a selective nearest neighbor decision rule IEEE Transactions on Information Theory 21 6 665 669 0323.68023 10.1109/TIT.1975.1055464
    • (1975) IEEE Transactions on Information Theory , vol.21 , Issue.6 , pp. 665-669
    • Ritter, G.1    Woodruff, H.2    Lowry, S.3    Isenhour, T.4
  • 66
    • 77956262500 scopus 로고    scopus 로고
    • Global, local and mixed rough sets case base maintenance techniques
    • IOS Amsterdam
    • Salamó, M.; & Golobardes, E. (2004). Global, local and mixed rough sets case base maintenance techniques. In 6th Catalan conference on artificial intelligence (pp. 127-134). Amsterdam: IOS.
    • (2004) 6th Catalan Conference on Artificial Intelligence , pp. 127-134
    • Salamó, M.1    Golobardes, E.2
  • 69
    • 70350252303 scopus 로고    scopus 로고
    • FaLKM-lib v1.0: A library for fast local kernel machines
    • University of Trento. Software
    • Segata, N. (2009). FaLKM-lib v1.0: A library for fast local kernel machines. Tech. Rep. DISI-09-025, DISI, University of Trento. Software, Available at http://disi.unitn.it/~segata/FaLKM-lib.
    • (2009) Tech. Rep. DISI-09-025, DISI
    • Segata, N.1
  • 70
    • 77954688281 scopus 로고    scopus 로고
    • Operators for transforming kernels into quasi-local kernels that improve SVM accuracy
    • University of Trento
    • Segata, N.; & Blanzieri, E. (2007). Operators for transforming kernels into quasi-local kernels that improve SVM accuracy. Tech. Rep. DISI-08-009, DISI, University of Trento.
    • (2007) Tech. Rep. DISI-08-009, DISI
    • Segata, N.1    Blanzieri, E.2
  • 74
    • 0001301027 scopus 로고
    • Remembering to forget: A competence preserving case deletion policy for CBR system
    • C. Mellish (eds). Morgan Kaufmann San Francisco
    • Smyth, B.; & Keane, M. (1995). Remembering to forget: A competence preserving case deletion policy for CBR system. In C. Mellish (Ed.), 14th international joint conference on artificial intelligence, (IJCAI 95) (pp. 337-382). San Francisco: Morgan Kaufmann.
    • (1995) 14th International Joint Conference on Artificial Intelligence, (IJCAI 95) , pp. 337-382
    • Smyth, B.1    Keane, M.2
  • 75
    • 77956264684 scopus 로고    scopus 로고
    • Nearest neighbor prototyping for sparse and scalable support vector machines
    • Sriperumbudur, B. K.; & Lanckriet, G. (2007). Nearest neighbor prototyping for sparse and scalable support vector machines. Tech. rep.; Dept. of ECE, UCSD.
    • (2007) Tech. Rep.; Dept. of ECE, UCSD
    • Sriperumbudur, B.K.1    Lanckriet, G.2
  • 78
    • 0016969272 scopus 로고
    • An experiment with the edited nearest-neighbor rule
    • 0332.68081 10.1109/TSMC.1976.4309523 428853
    • I Tomek 1976 An experiment with the edited nearest-neighbor rule IEEE Transactions on Systems, Man and Cybernetics 6 6 448 452 0332.68081 10.1109/TSMC.1976.4309523 428853
    • (1976) IEEE Transactions on Systems, Man and Cybernetics , vol.6 , Issue.6 , pp. 448-452
    • Tomek, I.1
  • 82
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • 10.2307/3001968
    • F Wilcoxon 1945 Individual comparisons by ranking methods Biometrics 1 6 80 83 10.2307/3001968
    • (1945) Biometrics , vol.1 , Issue.6 , pp. 80-83
    • Wilcoxon, F.1
  • 83
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data
    • 0276.62060 10.1109/TSMC.1972.4309137
    • DL Wilson 1972 Asymptotic properties of nearest neighbor rules using edited data IEEE Transactions on Systems, Man and Cybernetics 2 3 408 421 0276.62060 10.1109/TSMC.1972.4309137
    • (1972) IEEE Transactions on Systems, Man and Cybernetics , vol.2 , Issue.3 , pp. 408-421
    • Wilson, D.L.1
  • 85
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithms
    • 0954.68126 10.1023/A:1007626913721
    • DR Wilson TR Martinez 2000 Reduction techniques for instance-based learning algorithms Machine Learning 38 3 257 286 0954.68126 10.1023/A:1007626913721
    • (2000) Machine Learning , vol.38 , Issue.3 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2
  • 86
    • 85107848924 scopus 로고
    • Selecting typical instances in instance-based learning
    • Morgan Kaufmann San Francisco
    • Zhang, J. (1992). Selecting typical instances in instance-based learning. In 9th international workshop on Machine learning (ML 92) (pp. 470-479). San Francisco: Morgan Kaufmann.
    • (1992) 9th International Workshop on Machine Learning (ML 92) , pp. 470-479
    • Zhang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.