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@INPROCEEDINGS(RosGirTre00,
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 title = {{Kernel PCA for Feature Extraction of Event-Related Potentials for Human Signal Detection Performance}},
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 booktitle = {{Advances in Neural Information Processing Systems 11}},
 year =  1999,
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 address = "Cambridge",
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 title = "{Sparse Greedy Matrix Approximation for Machine Learning}",
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 publisher = "Morgan Kaufmann"
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 title = {From regularization operators to support vector kernels},
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 pages = {343--349},
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 year = "2000"
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 title = "{Support vector method for function approximation, regression estimation, and signal processing}",
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 year = "2000",
 editor = {{P. Langley}},
 publisher = "Morgan Kaufmann"
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 author = "C.K.I. Williams and M. Seeger",
 title = "{Using the Nystr{\"o}m Method to Speed Up Kernel Machines}",
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 editor = "{T. K. Leen, T. G. Dietterich and V. Tresp}",
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 author = "E.C. Malthouse",
 title = "{Nonlinear partial least squares}",
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@PHDTHESIS(Smo98,
 author = "A.J. Smola",
 title = "{Learning with Kernels}",
 school = {Technische Universit\"{a}t Berlin},
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@TECHREPORT(EvgPon99,
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@TECHREPORT(RosGirTre00a1,
 author = "R. Rosipal and M. Girolami and L.J. Trejo",
 title = "{Kernel PCA for Feature Extraction and De-Noising in Non-Linear Regression}",
 institution = "{Computing and Information Systems, University of Paisley}",
 year = "2000",
 number = "4",
 address = "Scotland"
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@TECHREPORT(RosGirTre01b,
 author = "R. Rosipal and M. Girolami and L.J. Trejo",
 title = "{On Kernel Principal Component Regression with Covariance Inflation Criterion for Model Selection}",
 institution = "{Computing and Information Systems, University of Paisley}",
 year = "2001",
 number = "13",
 address = "Scotland"
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@TECHREPORT(RosTre01,
 author = "R. Rosipal and L.J. Trejo",
 title = "{Kernel Partial Least Squares Regression in RKHS}",
 institution = "{Computing and Information Systems, University of Paisley}",
 year = "2001",
 number = "14",
 address = "Scotland"
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@TECHREPORT(RosTreCic00,
 author = "R. Rosipal and L. J. Trejo and A. Cichocki",
 title = "{Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction}",
 institution = "{Computing and Information Systems, University of Paisley}",
 year = "2000",
 number = "12",
 address = "Scotland"
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@TECHREPORT(SchSmoMul98a,
 author = {B. Sch\"{o}lkopf and A.J. Smola and K.R. M\"{u}ller},
 title = {{Nonlinear Component Analysis as a Kernel Eigenvalue Problem}},
 institution = {{Max Planck Institut f\"{u}r biologische Kybernetik}},
 year =  1996 ,
 number = {44},
 address = {T\"{u}bingen}
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@TECHREPORT(SmoSch98,
 author = {A.J. Smola and B. Sch\"{o}lkopf},
 title = {{A Tutorial on Support Vector Regression}},
 institution = {{NeuroColt2}},
 year =  1998 ,
 number = {NC2-TR-1998-030},
 address = {{Royal Holloway College}}
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@TECHREPORT(Van94,
 author = {R.J. Vanderbei},
 title = {{LOQO: An interior point code for quadratic programming}},
 institution = {{Princeton University}},
 year =  1994 ,
 number = {{SOR-94-15}},
 address = {NJ}
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@TECHREPORT(WilSmoSch98,
 author = {R.C. Williamson and A.J. Smola and B. Sch\"{o}lkopf},
 title = {Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators},
 institution = {{NeuroCOLT}},
 year =  1998 ,
 number = {{NC-TR-98-019}},
 address = {{Royal Holloway College}}
)