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Klaus-Robert Müller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller
    Barrier Boosting. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:170-179 [Conf]
  2. Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
    Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:374-383 [Conf]
  3. Masashi Sugiyama, Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, Klaus-Robert Müller
    Importance-Weighted Cross-Validation for Covariate Shift. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:354-363 [Conf]
  4. Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyuki Aihara, Klaus-Robert Müller
    Optimizing Spectral Filters for Single Trial EEG Classification. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:414-423 [Conf]
  5. Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller
    Hidden Markov gating for prediction of change points in switching dynamical systems. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:405-410 [Conf]
  6. Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
    Regularizing generalization error estimators: a novel approach to robust model selection. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:163-168 [Conf]
  7. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alex J. Smola, Thomas Lengauer, Klaus-Robert Müller
    Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1999, pp:37-43 [Conf]
  8. Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller
    A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:149-156 [Conf]
  9. Motoaki Kawanabe, Klaus-Robert Müller
    Estimating Functions for Blind Separation when Sources Have Variance-Dependencies. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:136-143 [Conf]
  10. Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
    Robust ICA for Super-Gaussian Sources. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:217-224 [Conf]
  11. Arie Yeredor, Andreas Ziehe, Klaus-Robert Müller
    Approximate Joint Diagonalization Using a Natural Gradient Approach. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:89-96 [Conf]
  12. Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik
    Analysis of Drifting Dynamics with Competing Predictors. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:785-790 [Conf]
  13. Jens Kohlmorgen, Klaus-Robert Müller, J. Rittweger, Klaus Pawelzik
    Analysis of Wake/Sleep EEG with Competing Experts. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:1077-1082 [Conf]
  14. Klaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik
    Predicting Time Series with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:999-1004 [Conf]
  15. Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen
    Prediction of Mixtures. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:127-132 [Conf]
  16. Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller
    Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:583-588 [Conf]
  17. Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller
    New Methods for Splice Site Recognition. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:329-336 [Conf]
  18. Masashi Sugiyama, Klaus-Robert Müller
    Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:528-534 [Conf]
  19. Masashi Sugiyama, Klaus-Robert Müller
    Model Selection Under Covariate Shift. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:235-240 [Conf]
  20. David M. J. Tax, Klaus-Robert Müller
    Feature Extraction for One-Class Classification. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:342-349 [Conf]
  21. Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller
    Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:331-338 [Conf]
  22. Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller
    A Model Selection Method Based on Bound of Learning Coefficient. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:371-380 [Conf]
  23. Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
    An Improvement of AdaBoost to Avoid Overfitting. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:506-509 [Conf]
  24. David M. J. Tax, Klaus-Robert Müller
    A Consistency-Based Model Selection for One-Class Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:363-366 [Conf]
  25. Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, M. Finke, Howard Hua Yang
    Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:176-182 [Conf]
  26. Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller
    Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  27. Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
    Classifying Single Trial EEG: Towards Brain Computer Interfacing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:157-164 [Conf]
  28. Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
    Combining Features for BCI. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1115-1122 [Conf]
  29. Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
    Increase Information Transfer Rates in BCI by CSP Extension to Multi-class. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  30. Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller
    Optimizing spatio-temporal filters for improving Brain-Computer Interfacing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  31. Stefan Harmeling, Alexander Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
    Kernel Feature Spaces and Nonlinear Blind Souce Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:761-768 [Conf]
  32. Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik
    Analysis of Drifting Dynamics with Neural Network Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  33. Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
    Effiicient BackProp. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:9-50 [Conf]
  34. Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
    Estimating the Reliability of ICA Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1181-1188 [Conf]
  35. Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller
    A Mathematical Programming Approach to the Kernel Fisher Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:591-597 [Conf]
  36. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller
    Invariant Feature Extraction and Classification in Kernel Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:526-532 [Conf]
  37. Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch
    Kernel PCA and De-Noising in Feature Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:536-542 [Conf]
  38. Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari
    Adaptive On-line Learning in Changing Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:599-605 [Conf]
  39. Guido Nolte, Andreas Ziehe, Frank C. Meinecke, Klaus-Robert Müller
    Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  40. Genevieve B. Orr, Klaus-Robert Müller
    Introduction. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:1-5 [Conf]
  41. Genevieve B. Orr, Klaus-Robert Müller
    Speeding Learning: Preface. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:7-8 [Conf]
  42. Genevieve B. Orr, Klaus-Robert Müller
    Regularization Techniques to Improve Generalization: Preface. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:51-54 [Conf]
  43. Genevieve B. Orr, Klaus-Robert Müller
    Improving Network Models and Algorithmic Tricks: Preface. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:141-144 [Conf]
  44. Genevieve B. Orr, Klaus-Robert Müller
    Representing and Incorporating Prior Knowledge in Neural Network Training: Preface. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:235-238 [Conf]
  45. Genevieve B. Orr, Klaus-Robert Müller
    Tricks for Time Series: Preface. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:343-346 [Conf]
  46. Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller
    Unmixing Hyperspectral Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:942-948 [Conf]
  47. Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika
    v-Arc: Ensemble Learning in the Presence of Outliers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:561-567 [Conf]
  48. Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
    Regularizing AdaBoost. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:564-570 [Conf]
  49. Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller
    Going Metric: Denoising Pairwise Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:817-824 [Conf]
  50. Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller
    Clustering with the Fisher Score. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:729-736 [Conf]
  51. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
    A New Discriminative Kernel From Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:977-984 [Conf]
  52. Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller
    Robust Ensemble Learning for Data Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:341-344 [Conf]
  53. Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller
    Visualization of anomaly detection using prediction sensitivity. [Citation Graph (0, 0)][DBLP]
    Sicherheit, 2005, pp:197-208 [Conf]
  54. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller
    Engineering support vector machine kernels that recognize translation initiation sites. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2000, v:16, n:9, pp:799-807 [Journal]
  55. Bernhard Schölkopf, Klaus-Robert Müller, Alex J. Smola
    Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 1999, v:14, n:3, pp:154-163 [Journal]
  56. Roman Krepki, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller
    Berlin Brain-Computer Interface - The HCI communication channel for discovery. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 2007, v:65, n:5, pp:460-477 [Journal]
  57. Stefan Harmeling, Guido Dornhege, David Tax, Frank C. Meinecke, Klaus-Robert Müller
    From outliers to prototypes: Ordering data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1608-1618 [Journal]
  58. Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich
    Classifying 'Drug-likeness' with Kernel-Based Learning Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:2, pp:249-253 [Journal]
  59. Motoaki Kawanabe, Klaus-Robert Müller
    Estimating Functions for Blind Separation When Sources Have Variance Dependencies. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:453-482 [Journal]
  60. Julian Laub, Klaus-Robert Müller
    Feature Discovery in Non-Metric Pairwise Data. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:801-818 [Journal]
  61. Masashi Sugiyama, Klaus-Robert Müller
    The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:323-359 [Journal]
  62. Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
    Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1319-1338 [Journal]
  63. Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller
    A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:777-800 [Journal]
  64. Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller
    Incremental Support Vector Learning: Analysis, Implementation and Applications. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1909-1936 [Journal]
  65. Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller
    In Search of Non-Gaussian Components of a High-Dimensional Distribution. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:247-282 [Journal]
  66. Benjamin Blankertz, Guido Dornhege, Steven Lemm, Matthias Krauledat, Gabriel Curio, Klaus-Robert Müller
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States. [Citation Graph (0, 0)][DBLP]
    J. UCS, 2006, v:12, n:6, pp:581-607 [Journal]
  67. Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
    Soft Margins for AdaBoost. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:42, n:3, pp:287-320 [Journal]
  68. Roman Krepki, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
    The Berlin Brain-Computer Interface (BBCI) - towards a new communication channel for online control in gaming applications. [Citation Graph (0, 0)][DBLP]
    Multimedia Tools Appl., 2007, v:33, n:1, pp:73-90 [Journal]
  69. Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
    Kernel-Based Nonlinear Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:5, pp:1089-1124 [Journal]
  70. Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller
    Nonlinear Component Analysis as a Kernel Eigenvalue Problem. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:5, pp:1299-1319 [Journal]
  71. Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
    Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:5, pp:1077-1104 [Journal]
  72. Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
    Asymptotic Properties of the Fisher Kernel. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:1, pp:115-137 [Journal]
  73. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
    A New Discriminative Kernel from Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:10, pp:2397-2414 [Journal]
  74. Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
    On-line learning in changing environments with applications in supervised and unsupervised learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:743-760 [Journal]
  75. Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller
    The connection between regularization operators and support vector kernels. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:4, pp:637-649 [Journal]
  76. Jens Kohlmorgen, Klaus-Robert Müller
    Data Set A is a Pattern Matching Problem. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:7, n:1, pp:43-47 [Journal]
  77. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller
    Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:5, pp:623-633 [Journal]
  78. Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller
    Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:9, pp:1184-1199 [Journal]
  79. Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller
    On the information and representation of non-Euclidean pairwise data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:10, pp:1815-1826 [Journal]
  80. Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller
    Injecting noise for analysing the stability of ICA components. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2004, v:84, n:2, pp:255-266 [Journal]
  81. Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson, Roderick Murray-Smith, Klaus-Robert Müller
    A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface. [Citation Graph (0, 0)][DBLP]
    HCI (6), 2007, pp:759-768 [Conf]
  82. Klaus-Robert Müller, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Benjamin Blankertz
    Machine Learning and Applications for Brain-Computer Interfacing. [Citation Graph (0, 0)][DBLP]
    HCI (8), 2007, pp:705-714 [Conf]
  83. Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
    Asymptotic Bayesian generalization error when training and test distributions are different. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1079-1086 [Conf]
  84. Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller
    Logistic Regression for Single Trial EEG Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1377-1384 [Conf]
  85. Julian Laub, Jakob Macke, Klaus-Robert Müller, Felix A. Wichmann
    Inducing Metric Violations in Human Similarity Judgements. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:777-784 [Conf]
  86. Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert Müller
    Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:753-760 [Conf]
  87. Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
    Denoising and Dimension Reduction in Feature Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:185-192 [Conf]

  88. Stopping conditions for exact computation of leave-one-out error in support vector machines. [Citation Graph (, )][DBLP]


  89. Stationary Subspace Analysis. [Citation Graph (, )][DBLP]


  90. Using Rest Class and Control Paradigms for Brain Computer Interfacing. [Citation Graph (, )][DBLP]


  91. A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. [Citation Graph (, )][DBLP]


  92. Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing. [Citation Graph (, )][DBLP]


  93. Heterogeneous Component Analysis. [Citation Graph (, )][DBLP]


  94. Playing Pinball with non-invasive BCI. [Citation Graph (, )][DBLP]


  95. Estimating vector fields using sparse basis field expansions. [Citation Graph (, )][DBLP]


  96. The Berlin Brain-Computer Interface. [Citation Graph (, )][DBLP]


  97. Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy. [Citation Graph (, )][DBLP]


  98. A Self-learning System for Detection of Anomalous SIP Messages. [Citation Graph (, )][DBLP]


  99. Identification of nonstationary dynamics in physiological recordings. [Citation Graph (, )][DBLP]


  100. Securing IMS against novel threats. [Citation Graph (, )][DBLP]


  101. How to Explain Individual Classification Decisions [Citation Graph (, )][DBLP]


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