메뉴 건너뛰기




Volumn 80, Issue 1, 2014, Pages 39-56

Hierarchical multi-label classification using local neural networks

Author keywords

Hierarchical multi label classification; Local classification method; Neural networks

Indexed keywords

DECISION TREES; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS;

EID: 84884973606     PISSN: 00220000     EISSN: 10902724     Source Type: Journal    
DOI: 10.1016/j.jcss.2013.03.007     Document Type: Conference Paper
Times cited : (135)

References (49)
  • 2
    • 6944251719 scopus 로고    scopus 로고
    • Predicting gene function in Saccharomyces cerevisiae
    • A. Clare, and R.D. King Predicting gene function in Saccharomyces cerevisiae Bioinformatics 19 2003 42 49
    • (2003) Bioinformatics , vol.19 , pp. 42-49
    • Clare, A.1    King, R.D.2
  • 3
    • 33744783942 scopus 로고    scopus 로고
    • Hierarchical multi-classification with predictive clustering trees in functional genomics
    • Lect. Notes Artif. Intell. Springer
    • J. Struyf, H. Blockeel, and A. Clare Hierarchical multi-classification with predictive clustering trees in functional genomics Workshop on Computational Methods in Bioinformatics Lect. Notes Artif. Intell. vol. 3808 2005 Springer 272 283
    • (2005) Workshop on Computational Methods in Bioinformatics , vol.3808 , pp. 272-283
    • Struyf, J.1    Blockeel, H.2    Clare, A.3
  • 6
    • 80052151453 scopus 로고    scopus 로고
    • Knowledge discovery with artificial immune systems for hierarchical multi-label classification of protein functions
    • R. Alves, M. Delgado, A. Freitas, Knowledge discovery with artificial immune systems for hierarchical multi-label classification of protein functions, in: International Conference on Fuzzy Systems, 2010, pp. 2097-2104.
    • (2010) International Conference on Fuzzy Systems , pp. 2097-2104
    • Alves, R.1    Delgado, M.2    Freitas, A.3
  • 7
    • 77956692717 scopus 로고    scopus 로고
    • A hierarchical multi-label classification ant colony algorithm for protein function prediction
    • F. Otero, A. Freitas, and C. Johnson A hierarchical multi-label classification ant colony algorithm for protein function prediction Memetic Comput. 2 2010 165 181
    • (2010) Memetic Comput. , vol.2 , pp. 165-181
    • Otero, F.1    Freitas, A.2    Johnson, C.3
  • 8
    • 79952545856 scopus 로고    scopus 로고
    • Hierarchical multilabel classification using top-down label combination and artificial neural networks
    • R. Cerri, A.C.P.L.F. Carvalho, Hierarchical multilabel classification using top-down label combination and artificial neural networks, in: Brazilian Symposium on Artificial Neural Networks, 2010, pp. 253-258.
    • (2010) Brazilian Symposium on Artificial Neural Networks , pp. 253-258
    • Cerri, R.1    Carvalho, A.C.P.L.F.2
  • 10
    • 79952831194 scopus 로고    scopus 로고
    • True path rule hierarchical ensembles for genome-wide gene function prediction
    • G. Valentini True path rule hierarchical ensembles for genome-wide gene function prediction IEEE/ACM Trans. Comput. Biol. Bioinform. 8 3 2011 832 847
    • (2011) IEEE/ACM Trans. Comput. Biol. Bioinform. , vol.8 , Issue.3 , pp. 832-847
    • Valentini, G.1
  • 11
    • 84857544229 scopus 로고    scopus 로고
    • Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks
    • R. Cerri, R. Barros, A. de Carvalho, Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks, in: Intelligent Systems Design and Applications (ISDA), 2011, pp. 337-343.
    • (2011) Intelligent Systems Design and Applications (ISDA) , pp. 337-343
    • Cerri, R.1    Barros, R.2    De Carvalho, A.3
  • 14
    • 38049001201 scopus 로고    scopus 로고
    • Comparing several approaches for hierarchical classification of proteins with decision trees
    • Lect. Notes in Bioinform. Springer-Verlag Berlin, Heidelberg
    • E. Costa, A. Lorena, A. Carvalho, A. Freitas, and N. Holden Comparing several approaches for hierarchical classification of proteins with decision trees II Brazilian Symposium on Bioinformatics Lect. Notes in Bioinform. vol. 4643 2007 Springer-Verlag Berlin, Heidelberg 126 137
    • (2007) II Brazilian Symposium on Bioinformatics , vol.4643 , pp. 126-137
    • Costa, E.1    Lorena, A.2    Carvalho, A.3    Freitas, A.4    Holden, N.5
  • 15
    • 78651375098 scopus 로고    scopus 로고
    • A survey of hierarchical classification across different application domains
    • C. Silla, and A. Freitas A survey of hierarchical classification across different application domains Data Min. Knowl. Discov. 22 2010 31 72
    • (2010) Data Min. Knowl. Discov. , vol.22 , pp. 31-72
    • Silla, C.1    Freitas, A.2
  • 18
    • 80052159259 scopus 로고    scopus 로고
    • Hierarchical multilabel protein function prediction using local neural networks
    • R. Cerri, A.C.P.L.F. Carvalho, Hierarchical multilabel protein function prediction using local neural networks, in: Brazilian Symposium on Bioinformatics, 2011, pp. 10-17.
    • (2011) Brazilian Symposium on Bioinformatics , pp. 10-17
    • Cerri, R.1    Carvalho, A.C.P.L.F.2
  • 20
    • 84943274699 scopus 로고
    • A Direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • M. Riedmiller, H. Braun, A Direct adaptive method for faster backpropagation learning: The RPROP algorithm, in: International Conference on Neural Networks, 1993, pp. 586-591.
    • (1993) International Conference on Neural Networks , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 21
    • 29644434908 scopus 로고    scopus 로고
    • Incremental algorithms for hierarchical classification
    • N. Cesa-Bianchi, C. Gentile, and L. Zaniboni Incremental algorithms for hierarchical classification Mach. Learn. 7 2006 31 54
    • (2006) Mach. Learn. , vol.7 , pp. 31-54
    • Cesa-Bianchi, N.1    Gentile, C.2    Zaniboni, L.3
  • 22
    • 79952857163 scopus 로고    scopus 로고
    • Hierarchical cost-sensitive algorithms for genome-wide gene function prediction
    • N. Cesa-Bianchi, and G. Valentini Hierarchical cost-sensitive algorithms for genome-wide gene function prediction J. Mach. Learn. Res. 8 2010 14 29
    • (2010) J. Mach. Learn. Res. , vol.8 , pp. 14-29
    • Cesa-Bianchi, N.1    Valentini, G.2
  • 24
    • 84865223440 scopus 로고    scopus 로고
    • Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
    • N. Cesa-Bianchi, M. Re, and G. Valentini Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference Mach. Learn. 88 1-2 2012 209 241
    • (2012) Mach. Learn. , vol.88 , Issue.12 , pp. 209-241
    • Cesa-Bianchi, N.1    Re, M.2    Valentini, G.3
  • 25
    • 79952821145 scopus 로고    scopus 로고
    • Simple ensemble methods are competitive with state-of-The-art data integration methods for gene function prediction
    • M. Re, and G. Valentini Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction J. Mach. Learn. Res. - Proc. Track 8 2010 98 111
    • (2010) J. Mach. Learn. Res. - Proc. Track , vol.8 , pp. 98-111
    • Re, M.1    Valentini, G.2
  • 29
    • 8844262557 scopus 로고    scopus 로고
    • Multi-label machine learning and its application to semantic scene classification
    • X. Shen, M. Boutell, J. Luo, and C. Brown Multi-label machine learning and its application to semantic scene classification Proc. SPIE 5307 2004 188 199
    • (2004) Proc. SPIE , vol.5307 , pp. 188-199
    • Shen, X.1    Boutell, M.2    Luo, J.3    Brown, C.4
  • 30
    • 84856444732 scopus 로고    scopus 로고
    • Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification
    • 10.3233/IDA-2011-0500
    • R. Cerri, A.C.P.L.F. Carvalho, and A.A. Freitas Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification Intelligent Data Analysis 15 6 2011 861 887 10.3233/IDA-2011-0500
    • (2011) Intelligent Data Analysis , vol.15 , Issue.6 , pp. 861-887
    • Cerri, R.1    Carvalho, A.C.P.L.F.2    Freitas, A.A.3
  • 33
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Mach. Learn. 24 2 1996 123 140
    • (1996) Mach. Learn. , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 34
    • 51849091084 scopus 로고    scopus 로고
    • Multi-label hierarchical classification of protein functions with artificial immune systems
    • Lect. Notes in Bioinform. Springer-Verlag Berlin, Heidelberg
    • R. Alves, M. Delgado, and A. Freitas Multi-label hierarchical classification of protein functions with artificial immune systems III Brazilian Symposium on Bioinformatics Lect. Notes in Bioinform. vol. 5167 2008 Springer-Verlag Berlin, Heidelberg 1 12
    • (2008) III Brazilian Symposium on Bioinformatics , vol.5167 , pp. 1-12
    • Alves, R.1    Delgado, M.2    Freitas, A.3
  • 43
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demšar Statistical comparisons of classifiers over multiple data sets J. Mach. Learn. Res. 7 2006 1 30
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1-30
    • Demšar, J.1
  • 49
    • 0001355838 scopus 로고
    • Radial basis functions for multivariable interpolation: A review
    • Clarendon Press New York, NY, USA
    • M.J.D. Powell Radial basis functions for multivariable interpolation: a review Algorithms for Approximation 1987 Clarendon Press New York, NY, USA 143 167
    • (1987) Algorithms for Approximation , pp. 143-167
    • Powell, M.J.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.