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Volumn 1, Issue 3, 2011, Pages 438-449

Workflow for generating competing hypothesis from models with parameter uncertainty

Author keywords

Bioinformatics; Computational biology; Systems biology

Indexed keywords


EID: 84857647761     PISSN: 20428898     EISSN: 20428901     Source Type: Journal    
DOI: 10.1098/rsfs.2011.0015     Document Type: Article
Times cited : (31)

References (52)
  • 1
    • 0037168597 scopus 로고    scopus 로고
    • An ensemble method for identifying regulatory circuits with special reference to the qa gene cluster of Neurospora crassa
    • (doi:10.1073/pnas.262658899)
    • Battogtokh, D., Asch, D. K., Case, M. E., Arnold, J. & Schüttler, B. 2002 An ensemble method for identifying regulatory circuits with special reference to the qa gene cluster of Neurospora crassa. Proc. Natl Acad. Sci. USA 99, 16 904-16 909. (doi:10.1073/pnas.262658899)
    • (2002) Proc. Natl Acad. Sci. USA , vol.99 , pp. 16904-16909
    • Battogtokh, D.1    Asch, D.K.2    Case, M.E.3    Arnold, J.4    Schüttler, B.5
  • 2
    • 42749109054 scopus 로고    scopus 로고
    • Statistical mechanical approaches to models with many poorly known parameters
    • (doi:10.1103/PhysRevE.68.021904)
    • Brown, K. S. & Sethna, J. P. 2003 Statistical mechanical approaches to models with many poorly known parameters. Phys. Rev. E 68, 021904. (doi:10.1103/PhysRevE.68.021904)
    • (2003) Phys. Rev. E , vol.68 , pp. 021904
    • Brown, K.S.1    Sethna, J.P.2
  • 4
    • 33847702424 scopus 로고    scopus 로고
    • Bounded model checking
    • (doi:10.1016/S0065-2458(03)58003-2)
    • Biere, A., Cimatti, A., Clarke, E. M., Strichman, O. & Zhu, Y. 2003 Bounded model checking. Adv. Comput. 58, 117-148. (doi:10.1016/S0065-2458(03)58003-2)
    • (2003) Adv. Comput. , vol.58 , pp. 117-148
    • Biere, A.1    Cimatti, A.2    Clarke, E.M.3    Strichman, O.4    Zhu, Y.5
  • 5
    • 57049089108 scopus 로고    scopus 로고
    • Statistical model checking in Biolab: Applications to the automated analysis of t-cell receptor signaling pathway
    • (doi:10.1007/978-3-540-88562-7_18)
    • Clarke, E., Faeder, J., Langmead, C., Harris, L., Jha, S. & Legay, A. 2008 Statistical model checking in Biolab: applications to the automated analysis of t-cell receptor signaling pathway. Comput. Meth. Syst. Biol. 5307, 231-250. (doi:10.1007/978-3-540-88562-7_18)
    • (2008) Comput. Meth. Syst. Biol. , vol.5307 , pp. 231-250
    • Clarke, E.1    Faeder, J.2    Langmead, C.3    Harris, L.4    Jha, S.5    Legay, A.6
  • 6
    • 57049106843 scopus 로고    scopus 로고
    • A model checking approach to the parameter estimation of biochemical pathways
    • (doi:10. 1007/978-3-540-88562-7_20)
    • Donaldson, R. & Gilbert, D. 2008 A model checking approach to the parameter estimation of biochemical pathways. Comput. Meth. Syst. Biol. 5307, 269-287. (doi:10. 1007/978-3-540-88562-7_20)
    • (2008) Comput. Meth. Syst. Biol. , vol.5307 , pp. 269-287
    • Donaldson, R.1    Gilbert, D.2
  • 7
    • 77953783032 scopus 로고    scopus 로고
    • Mass and information feedbacks through receptor endocytosis govern insulin signaling as revealed using a parameter-free modeling framework
    • See
    • Brannmark, C., Palmer, R., Glad, S. T., Cedersund, G. & Stralfors, P. 2010 Mass and information feedbacks through receptor endocytosis govern insulin signaling as revealed using a parameter-free modeling framework. J. Biol. Chem. See http://www.jbc.org/content/early/2010/04/26/jbc.M110.106849.abstract.
    • (2010) J. Biol. Chem.
    • Brannmark, C.1    Palmer, R.2    Glad, S.T.3    Cedersund, G.4    Stralfors, P.5
  • 8
    • 46249093956 scopus 로고    scopus 로고
    • Model-based hypothesis testing of key mechanisms in initial phase of insulin signaling
    • (doi:10.1371/journal.pcbi.1000096)
    • Cedersund, G., Roll, J., Ulfhielm, E., Danielsson, A., Tidefelt, H. & Strålfors, P. 2008 Model-based hypothesis testing of key mechanisms in initial phase of insulin signaling. PloS Comput. Biol. 4, e1000096. (doi:10.1371/journal.pcbi.1000096)
    • (2008) PloS Comput. Biol. , vol.4
    • Cedersund, G.1    Roll, J.2    Ulfhielm, E.3    Danielsson, A.4    Tidefelt, H.5    Strålfors, P.6
  • 9
    • 34948840834 scopus 로고    scopus 로고
    • Ensemble modeling for analysis of cell signaling dynamics
    • (doi:10.1038/nbt1330)
    • Kuepfer, L., Peter, M., Sauer, U. & Stelling, J. 2007 Ensemble modeling for analysis of cell signaling dynamics. Nat. Biotech. 25, 1001-1006. (doi:10.1038/nbt1330)
    • (2007) Nat. Biotech. , vol.25 , pp. 1001-1006
    • Kuepfer, L.1    Peter, M.2    Sauer, U.3    Stelling, J.4
  • 10
    • 58849162806 scopus 로고    scopus 로고
    • Systems biology: Model based evaluation and comparison of potential explanations for given biological data
    • (doi:10. 1111/j.1742-4658.2008.06845.x)
    • Cedersund, G. & Roll, J. 2009 Systems biology: model based evaluation and comparison of potential explanations for given biological data. FEBS J. 276, 903-922. (doi:10. 1111/j.1742-4658.2008.06845.x)
    • (2009) FEBS J. , vol.276 , pp. 903-922
    • Cedersund, G.1    Roll, J.2
  • 11
    • 62649128117 scopus 로고    scopus 로고
    • Deconstructing the core dynamics from a complex time-lagged regulatory biological circuit
    • (doi:10.1049/iet-syb.2007.0028)
    • Eriksson, O., Brinne, B., Zhou, Y., Bjorkegren, J. & Tegner, J. 2009 Deconstructing the core dynamics from a complex time-lagged regulatory biological circuit. IET Syst. Biol. 3, 113-129. (doi:10.1049/iet-syb.2007.0028)
    • (2009) IET Syst. Biol. , vol.3 , pp. 113-129
    • Eriksson, O.1    Brinne, B.2    Zhou, Y.3    Bjorkegren, J.4    Tegner, J.5
  • 12
    • 33846455499 scopus 로고    scopus 로고
    • Dynamical characteristics common to neuronal competition models
    • (doi:10.1152/jn. 00604.2006)
    • Shpiro, A., Curtu, R., Rinzel, J. & Rubin, N. 2007 Dynamical characteristics common to neuronal competition models. J. Neurophysiol. 97, 462-473. (doi:10.1152/jn. 00604.2006)
    • (2007) J. Neurophysiol. , vol.97 , pp. 462-473
    • Shpiro, A.1    Curtu, R.2    Rinzel, J.3    Rubin, N.4
  • 13
    • 67649259165 scopus 로고    scopus 로고
    • Computational disease modeling-fact or fiction?
    • (doi:10.1186/1752-0509-3-56)
    • Tegner, J. et al. 2009 Computational disease modeling-fact or fiction? BMC Syst. Biol. 3, 56. (doi:10.1186/1752-0509-3-56)
    • (2009) BMC Syst. Biol. , vol.3 , pp. 56
    • Tegner, J.1
  • 14
    • 0037342537 scopus 로고    scopus 로고
    • The systems biology markup language (SBML): A medium for representation and exchange of biochemical network models
    • (doi:10.1093/bioinformatics/btg015)
    • Hucka, M., Finney, A., Sauro, H. M., Bolouri, H., Doyle, J. C., Kitano, H. et al. 2003 The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19, 524-531. (doi:10.1093/bioinformatics/btg015)
    • (2003) Bioinformatics , vol.19 , pp. 524-531
    • Hucka, M.1    Finney, A.2    Sauro, H.M.3    Bolouri, H.4    Doyle, J.C.5    Kitano, H.6
  • 15
    • 77649125828 scopus 로고    scopus 로고
    • Reconciling coherent oscillation with modulationof irregular spiking activity in selective attention: Gammarange synchronization between sensoryand executive cortical areas
    • (doi:10.1523/JNEUROSCI.4222-09.2010)
    • Ardid, S., Wang, X.-J., Gomez-Cabrero, D. & Compte, A. 2010 Reconciling coherent oscillation with modulationof irregular spiking activity in selective attention: gammarange synchronization between sensoryand executive cortical areas. J. Neurosci. 30, 2856-2870. (doi:10.1523/JNEUROSCI.4222-09.2010)
    • (2010) J. Neurosci. , vol.30 , pp. 2856-2870
    • Ardid, S.1    Wang, X.-J.2    Gomez-Cabrero, D.3    Compte, A.4
  • 16
    • 84860858267 scopus 로고    scopus 로고
    • Exploring the specificity of the relationship between cortical network function and biological simulation parameters with a PSO algorithm
    • Centre de Recerca Matematica, Universitat de Barcelona, Spain
    • Gomez-Cabrero, D., Ardid, S. & Compte, A. 2009 Exploring the specificity of the relationship between cortical network function and biological simulation parameters with a PSO algorithm. Workshop and Advanced Course on Deterministic and Stochastic Modeling in Computational Neuroscience. Centre de Recerca Matematica, Universitat de Barcelona, Spain.
    • (2009) Workshop and Advanced Course on Deterministic and Stochastic Modeling in Computational Neuroscience.
    • Gomez-Cabrero, D.1    Ardid, S.2    Compte, A.3
  • 17
    • 0033811553 scopus 로고    scopus 로고
    • Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model
    • (doi:10.1093/cercor/10.9.910)
    • Compte, A., Brunel, N., Goldman-Rakic, P. S. & Wang, J. 2000 Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cereb. Cortex 10, 910-923. (doi:10.1093/cercor/10.9.910)
    • (2000) Cereb. Cortex , vol.10 , pp. 910-923
    • Compte, A.1    Brunel, N.2    Goldman-Rakic, P.S.3    Wang, J.4
  • 18
    • 33746614853 scopus 로고    scopus 로고
    • Complex parameter landscape for a complex neuron model
    • (doi:10.1371/journal.pcbi.0020094)
    • Achard, P. & De Schutter, E. 2006 Complex parameter landscape for a complex neuron model. PloS Comput. Biol. 2, e94. (doi:10.1371/journal.pcbi.0020094)
    • (2006) PloS Comput. Biol. , vol.2
    • Achard, P.1    de Schutter, E.2
  • 19
    • 78149457680 scopus 로고    scopus 로고
    • When the optimal is not the best: Parameter estimation in complex biological models
    • (doi:10.1371%2Fjournal.pone. 0013283)
    • Fernández Slezak, D., Suárez, C., Cecchi, G. A., Marshall, G. & Stolovitzky, G. 2010 When the optimal is not the best: parameter estimation in complex biological models. PLoS ONE 5, e13283. (doi:10.1371%2Fjournal.pone. 0013283)
    • (2010) PLoS ONE , vol.5
    • Fernández Slezak, D.1    Suárez, C.2    Cecchi, G.A.3    Marshall, G.4    Stolovitzky, G.5
  • 22
    • 79951982591 scopus 로고    scopus 로고
    • Differential and integral views of genetics in computational systems biology
    • (doi:10.1098/rsfs.2010.0444)
    • Noble, D. 2011 Differential and integral views of genetics in computational systems biology. Interface Focus 1, 7-15. (doi:10.1098/rsfs.2010.0444)
    • (2011) Interface Focus , vol.1 , pp. 7-15
    • Noble, D.1
  • 23
    • 77951570689 scopus 로고    scopus 로고
    • Pathogenesis of atherosclerosis
    • (doi:10.1182/asheducation-2005.1.436)
    • Crowther, M. A. 2005 Pathogenesis of atherosclerosis. Hematology 2005, 436-441. (doi:10.1182/asheducation-2005.1.436)
    • (2005) Hematology , vol.2005 , pp. 436-441
    • Crowther, M.A.1
  • 24
    • 33646065983 scopus 로고    scopus 로고
    • Pathogenesis of Atherosclerosis
    • (doi:10.1016/j.jacc.2005.09.068)
    • Falk, E. 2006 Pathogenesis of Atherosclerosis. J. Am. Coll. Cardiol. 47, C7-C12. (doi:10.1016/j.jacc.2005.09.068)
    • (2006) J. Am. Coll. Cardiol. , vol.47
    • Falk, E.1
  • 25
    • 41949107824 scopus 로고    scopus 로고
    • Transcriptional profiling uncovers a network of cholesterol-responsive atherosclerosis target genes
    • (doi:10.1371/journal. pgen.1000036)
    • Skogsberg, J. et al. 2008 Transcriptional profiling uncovers a network of cholesterol-responsive atherosclerosis target genes. PLoS Genet. 4, e1000036. (doi:10.1371/journal. pgen.1000036)
    • (2008) PLoS Genet. , vol.4
    • Skogsberg, J.1
  • 28
    • 0036437286 scopus 로고    scopus 로고
    • Simple explanation of the no-free-lunch theorem and its implications
    • (doi:10.1023/A: 1021251113462)
    • Ho, Y. C. & Pepyne, D. L. 2002 Simple explanation of the no-free-lunch theorem and its implications. J. Optim. Theory Appl. 115, 549-570. (doi:10.1023/A: 1021251113462)
    • (2002) J. Optim. Theory Appl. , vol.115 , pp. 549-570
    • Ho, Y.C.1    Pepyne, D.L.2
  • 30
    • 0242574982 scopus 로고    scopus 로고
    • Parameter estimation in biochemical pathways: A comparison of global optimization methods
    • (doi:10.1101/gr.1262503)
    • Moles, C. G., Mendes, P. & Banga, J. R. 2003 Parameter estimation in biochemical pathways: a comparison of global optimization methods. Genome Res. 13, 2467-2474. (doi:10.1101/gr.1262503)
    • (2003) Genome Res. , vol.13 , pp. 2467-2474
    • Moles, C.G.1    Mendes, P.2    Banga, J.R.3
  • 31
    • 76649138302 scopus 로고    scopus 로고
    • Why are nonlinear fits to data so challenging?
    • (doi:10.1103/PhysRevLett.104. 060201)
    • Transtrum, M. K., Machta, B. B. & Sethna, J. P. 2010 Why are nonlinear fits to data so challenging? Phys. Rev. Lett. 104, 060201. (doi:10.1103/PhysRevLett.104. 060201)
    • (2010) Phys. Rev. Lett. , vol.104 , pp. 060201
    • Transtrum, M.K.1    Machta, B.B.2    Sethna, J.P.3
  • 32
    • 34547118379 scopus 로고    scopus 로고
    • Estimating parameters for generalized mass action models using constraint propagation
    • (doi:10.1016/j.mbs.2006.11.009)
    • Tucker, W., Kutalik, Z. & Moulton, V. 2007 Estimating parameters for generalized mass action models using constraint propagation. Math. Biosci. 208, 607-620. (doi:10.1016/j.mbs.2006.11.009)
    • (2007) Math. Biosci. , vol.208 , pp. 607-620
    • Tucker, W.1    Kutalik, Z.2    Moulton, V.3
  • 33
    • 33847134821 scopus 로고    scopus 로고
    • Efficient classification of complete parameter regions based on semidefinite programming
    • (doi:10.1186/1471-2105-8-12)
    • Kuepfer, L., Sauer, U. & Parrilo, P. 2007 Efficient classification of complete parameter regions based on semidefinite programming. BMC Bioinformatics 8, 12. (doi:10.1186/1471-2105-8-12)
    • (2007) BMC Bioinformatics , vol.8 , pp. 12
    • Kuepfer, L.1    Sauer, U.2    Parrilo, P.3
  • 34
    • 77952481588 scopus 로고    scopus 로고
    • Parameter identification, experimental design and model falsification for biological network models using semidefinite programming
    • (doi:10.1049/iet-syb.2009.0030)
    • Hasenauer, J., Waldherr, S., Wagner, K. & Allgower, F. 2010 Parameter identification, experimental design and model falsification for biological network models using semidefinite programming. IET Syst. Biol. 4, 119-130. (doi:10.1049/iet-syb.2009.0030)
    • (2010) IET Syst. Biol. , vol.4 , pp. 119-130
    • Hasenauer, J.1    Waldherr, S.2    Wagner, K.3    Allgower, F.4
  • 35
    • 0034648768 scopus 로고    scopus 로고
    • Atherosclerosis
    • (doi:10.1038/35025203)
    • Lusis, A. J. 2000 Atherosclerosis. Nature 407, 233-241. (doi:10.1038/35025203)
    • (2000) Nature , vol.407 , pp. 233-241
    • Lusis, A.J.1
  • 36
    • 42149195139 scopus 로고    scopus 로고
    • Regulatory T-cell immunity and its relevance to atherosclerosis
    • (doi:10.1111/j.1365-2796.2008. 01944.x)
    • Taleb, S., Tedgui, A. & Mallat, Z. 2008 Regulatory T-cell immunity and its relevance to atherosclerosis. J. Intern. Med. 263, 489-499. (doi:10.1111/j.1365-2796.2008. 01944.x)
    • (2008) J. Intern. Med. , vol.263 , pp. 489-499
    • Taleb, S.1    Tedgui, A.2    Mallat, Z.3
  • 37
    • 0029535737 scopus 로고
    • Particle swarm optimization
    • (doi:10.1109/ICNN.1995.488968)
    • Kennedy, J. & Eberhart, R. 1995 Particle swarm optimization. Proc. IEEE Int. Conf. Neural Networks IV, 1942-1948. (doi:10.1109/ICNN.1995.488968)
    • (1995) Proc. IEEE Int. Conf. Neural Networks , vol.4 , pp. 1942-1948
    • Kennedy, J.1    Eberhart, R.2
  • 39
    • 46249083801 scopus 로고    scopus 로고
    • Mapping global sensitivity of cellular network dynamics: Sensitivity heat maps and a global summation law
    • (doi:10. 1098/rsif.2008.0084.focus)
    • Rand, D. A. 2008 Mapping global sensitivity of cellular network dynamics: sensitivity heat maps and a global summation law. J. R. Soc. Interface 5, S59-S69. (doi:10. 1098/rsif.2008.0084.focus)
    • (2008) J. R. Soc. Interface , vol.5
    • Rand, D.A.1
  • 40
    • 71149116758 scopus 로고    scopus 로고
    • Systems analysis of cellular networks under uncertainty
    • (doi:10.1016/j.febslet.2009.10.074)
    • Kaltenbach, H.-M., Dimopoulos, S. & Stelling, J. 2009 Systems analysis of cellular networks under uncertainty. FEBS Lett. 583, 3923-3930. (doi:10.1016/j.febslet.2009.10.074)
    • (2009) FEBS Lett. , vol.583 , pp. 3923-3930
    • Kaltenbach, H.-M.1    Dimopoulos, S.2    Stelling, J.3
  • 41
    • 44949119436 scopus 로고    scopus 로고
    • Why are computational neuroscience and systems biology so separate?
    • (doi:10.1371/journal.pcbi. 1000078)
    • DeSchutter, E. 2008 Why are computational neuroscience and systems biology so separate? PlOS Comput. Biol. 30, e1000078. (doi:10.1371/journal.pcbi. 1000078)
    • (2008) PlOS Comput. Biol. , vol.30
    • DeSchutter, E.1
  • 42
    • 13744259954 scopus 로고    scopus 로고
    • Similar network activity from disparate circuit parameters
    • (doi:10.1038/nn1352)
    • Prinz, A. A., Bucher, D. & Marder, E. 2004 Similar network activity from disparate circuit parameters. Nat. Neurosci. 7, 1345-1352. (doi:10.1038/nn1352)
    • (2004) Nat. Neurosci. , vol.7 , pp. 1345-1352
    • Prinz, A.A.1    Bucher, D.2    Marder, E.3
  • 43
    • 35748931160 scopus 로고    scopus 로고
    • Data-based identifiability analysis of non-linear dynamical models
    • (doi:10.1093/bioinformatics/btm382)
    • Hengl, S., Kreutz, C., Timmer, J. & Maiwald, T. 2007 Data-based identifiability analysis of non-linear dynamical models. Bioinformatics 23, 2612-2618. (doi:10.1093/bioinformatics/btm382)
    • (2007) Bioinformatics , vol.23 , pp. 2612-2618
    • Hengl, S.1    Kreutz, C.2    Timmer, J.3    Maiwald, T.4
  • 44
    • 0023453329 scopus 로고
    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • (doi:10.1016/0377-0427(87)90125-7)
    • Rousseeuw, P. J. 1987 Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53-65. (doi:10.1016/0377-0427(87)90125-7)
    • (1987) J. Comput. Appl. Math. , vol.20 , pp. 53-65
    • Rousseeuw, P.J.1
  • 46
    • 84882539178 scopus 로고    scopus 로고
    • Principal component analysis: Concept, geometrical interpretation, mathematical background, algorithms, history, practice
    • (doi:10.1016/B978-0444 52701-1.00043-0)
    • Esbensen, K. H. & Geladi, P. 2009 Principal component analysis: concept, geometrical interpretation, mathematical background, algorithms, history, practice. Compr. Chemometrics 2, 211-226. (doi:10.1016/B978-0444 52701-1.00043-0)
    • (2009) Compr. Chemometrics , vol.2 , pp. 211-226
    • Esbensen, K.H.1    Geladi, P.2
  • 47
    • 0032025439 scopus 로고    scopus 로고
    • Simplification of mathematical models of chemical reaction systems
    • (doi:10.1021/cr950223l)
    • Okino, M. S. & Mavrovouniotis, M. L. 1998 Simplification of mathematical models of chemical reaction systems. Chem. Rev. 98, 391-408. (doi:10.1021/cr950223l)
    • (1998) Chem. Rev. , vol.98 , pp. 391-408
    • Okino, M.S.1    Mavrovouniotis, M.L.2
  • 48
    • 0024895750 scopus 로고
    • A general analysis of exact lumping in chemical kinetics
    • (doi:10.1016/0009-2509(89)85014-6)
    • Li, G. & Rabitz, H. 1989 A general analysis of exact lumping in chemical kinetics. Chem. Eng. Sci. 44, 1413-1430. (doi:10.1016/0009-2509(89)85014-6)
    • (1989) Chem. Eng. Sci. , vol.44 , pp. 1413-1430
    • Li, G.1    Rabitz, H.2
  • 49
    • 72349095962 scopus 로고    scopus 로고
    • A method for robust model order reduction in pharmacokinetics
    • (doi:10. 1007/s10928-009-9141-9)
    • Dokoumetzidis, A. & Aarons, L. 2009 A method for robust model order reduction in pharmacokinetics. J. Pharmacokinet. Pharmacodyn. 36, 613-628. (doi:10. 1007/s10928-009-9141-9)
    • (2009) J. Pharmacokinet. Pharmacodyn. , vol.36 , pp. 613-628
    • Dokoumetzidis, A.1    Aarons, L.2
  • 50
    • 70349231195 scopus 로고    scopus 로고
    • Simplified yet highly accurate enzyme kinetics for cases of low substrate concentrations
    • (doi:10.1111/j.1742-4658.2009.07233.x)
    • Härdin, H. M., Zagaris, A., Krab, K. & Westerhoff, H. V. 2009 Simplified yet highly accurate enzyme kinetics for cases of low substrate concentrations. FEBS J. 276, 5491-5506. (doi:10.1111/j.1742-4658.2009.07233.x)
    • (2009) FEBS J. , vol.276 , pp. 5491-5506
    • Härdin, H.M.1    Zagaris, A.2    Krab, K.3    Westerhoff, H.V.4
  • 51
    • 0020102027 scopus 로고
    • Least squares quantization in PCM
    • (doi:10.1109/TIT.1982.1056489)
    • Lloyd, S. P. 1982 Least squares quantization in PCM. IEEE Trans. Inform. Theory 28, 129-136. (doi:10.1109/TIT.1982.1056489)
    • (1982) IEEE Trans. Inform. Theory , vol.28 , pp. 129-136
    • Lloyd, S.P.1
  • 52
    • 79951834539 scopus 로고    scopus 로고
    • An Introduction to Support Vector Machines
    • (doi:10.1016/B978-044451378-6/50001-6)
    • Schölkopf, B. 2003 An Introduction to Support Vector Machines. Recent Adv. Trends Nonparam. Statist. 3-17. (doi:10.1016/B978-044451378-6/50001-6)
    • (2003) Recent Adv. Trends Nonparam. Statist. , pp. 3-17
    • Schölkopf, B.1


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