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Volumn 28, Issue 3-4, 2006, Pages 465-484

Monitoring network optimisation for spatial data classification using support vector machines

Author keywords

Active learning; Classification; Geostatistics; Machine learning; Monitoring network optimisation; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); MATHEMATICAL MODELS; OPTIMIZATION;

EID: 33845396761     PISSN: 09574352     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJEP.2006.011223     Document Type: Article
Times cited : (18)

References (28)
  • 1
    • 33845450229 scopus 로고    scopus 로고
    • PhD, Department of Statistics, Stanford University, Stanford, California
    • Banjevic, M. (2004) Optimal Network Designs in Spatial Statistics, PhD, Department of Statistics, Stanford University, Stanford, California.
    • (2004) Optimal Network Designs in Spatial Statistics
    • Banjevic, M.1
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Kluwer Academic Publishers
    • Burges, C. (1998) 'A tutorial on support vector machines for pattern recognition', Data Mining and Knowledge Discovery, Kluwer Academic Publishers, Vol. 2, No. 2, pp. 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 4
    • 0021639968 scopus 로고
    • A method for optimal observation network design for grounwater management
    • Carrera, J., Usunoff, E. and Szidarovsky, F. (1984) 'A method for optimal observation network design for grounwater management', Journal of Hydrology, Vol. 73, pp. 147-163.
    • (1984) Journal of Hydrology , vol.73 , pp. 147-163
    • Carrera, J.1    Usunoff, E.2    Szidarovsky, F.3
  • 6
    • 9444222028 scopus 로고    scopus 로고
    • River stage forecasting with particle swarm optimization
    • Chau, K.W. (2004a) 'River stage forecasting with particle swarm optimization', Lecture Notes in Computer Science, Vol. 3029, pp.1166-1173.
    • (2004) Lecture Notes in Computer Science , vol.3029 , pp. 1166-1173
    • Chau, K.W.1
  • 7
    • 24944503155 scopus 로고    scopus 로고
    • Rainfall-runoff correlation with particle swarm optimization algorithm
    • Chau, K.W. (2004b) 'Rainfall-runoff correlation with particle swarm optimization algorithm', Lecture Notes in Computer Science, Vol. 3174, pp.970-975.
    • (2004) Lecture Notes in Computer Science , vol.3174 , pp. 970-975
    • Chau, K.W.1
  • 8
    • 24944477705 scopus 로고    scopus 로고
    • A Split-step PSO algorithm in prediction of water quality pollution
    • Chau, K.W. (2005) 'A Split-step PSO algorithm in prediction of water quality pollution', Lecture Notes in Computer Science, Vol. 3498, pp. 1034-1039.
    • (2005) Lecture Notes in Computer Science , vol.3498 , pp. 1034-1039
    • Chau, K.W.1
  • 15
    • 45749120928 scopus 로고    scopus 로고
    • Environmental data mining and modelling based on machine learning algorithms and geostatistics
    • Lugano, Switzerland
    • Kanevski, M., Parkin, R., Pozdnoukhov, A., Timonin, V., Maignan, M., Yatsalo, B. and Canu, S. (2000) 'Environmental data mining and modelling based on machine learning algorithms and geostatistics', iEMSs2002, Lugano, Switzerland, pp.414-419.
    • (2000) iEMSs2002 , pp. 414-419
    • Kanevski, M.1    Parkin, R.2    Pozdnoukhov, A.3    Timonin, V.4    Maignan, M.5    Yatsalo, B.6    Canu, S.7
  • 18
    • 0036738840 scopus 로고    scopus 로고
    • Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
    • Keerthi, S. (2002) 'Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms', IEEE Transactions on Neural Networks, Vol. 13, pp.1225-1229.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 1225-1229
    • Keerthi, S.1
  • 19
    • 0141532746 scopus 로고    scopus 로고
    • Selecting soils for remediation in contaminated soils via stochastic imaging
    • 22-27 September, Wolongong, Australia
    • Kyriakidis, P.C. (1996) 'Selecting soils for remediation in contaminated soils via stochastic imaging', Proceedings of the Fifth International Geostatistics Congress, 22-27 September, Wolongong, Australia.
    • (1996) Proceedings of the Fifth International Geostatistics Congress
    • Kyriakidis, P.C.1
  • 22
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Smola, A., Bartlett, P., Scholkopf, B. and Schuurmans, D. (Eds.), MIT Press, USA
    • Platt, J. (1999) 'Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods', in Smola, A., Bartlett, P., Scholkopf, B. and Schuurmans, D. (Eds.): Advances in Large Margin Classifiers, MIT Press, USA, pp.61-74.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.1
  • 23
    • 84866724771 scopus 로고    scopus 로고
    • Robust mapping of spatial data with support vector regression
    • Nuclear Safety Institute RAS
    • Pozdnoukhov, A., Kanevski, M., Maignan, M. and Canu, S. (2002) 'Robust mapping of spatial data with support vector regression', Preprint IBRAE-2002, Nuclear Safety Institute RAS, p.15.
    • (2002) Preprint IBRAE-2002 , pp. 15
    • Pozdnoukhov, A.1    Kanevski, M.2    Maignan, M.3    Canu, S.4
  • 26
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • November
    • Tong, S. and Koller, D. (2001) 'Support vector machine active learning with applications to text classification', JMLR, Vol. 2, November, pp.45-66.
    • (2001) JMLR , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.