| 2009 | ||
|---|---|---|
| 60 | Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch: The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709 | |
| 59 | Sebastian J. Schultheiß, Wolfgang Busch, Jan Lohmann, Oliver Kohlbacher, Gunnar Rätsch: KIRMES: kernel-based identification of regulatory modules in euchromatic sequences. Bioinformatics 25(16): 2126-2133 (2009) | |
| 58 | Arnulf B. A. Graf, Olivier Bousquet, Gunnar Rätsch, Bernhard Schölkopf: Prototype Classification: Insights from Machine Learning. Neural Computation 21(1): 272-300 (2009) | |
| 57 | Gabriele Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch: mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research 37(Web-Server-Issue): 312-316 (2009) | |
| 2008 | ||
| 56 | Fabio De Bona, Stephan Ossowski, Korbinian Schneeberger, Gunnar Rätsch: Optimal spliced alignments of short sequence reads. ECCB 2008: 174-180 | |
| 55 | Sebastian J. Schultheiß, Wolfgang Busch, Jan Lohmann, Oliver Kohlbacher, Gunnar Rätsch: KIRMES: Kernel-based Identification of Regulatory Modules in Euchromatic Sequences. German Conference on Bioinformatics 2008: 158-167 | |
| 54 | Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch: POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB 2008: 6-14 | |
| 53 | Gabriele Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch: An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. NIPS 2008: 1433-1440 | |
| 52 | Georg Zeller, Stefan R. Henz, Sascha Laubinger, Detlef Weigel, Gunnar Rätsch: Transcript Normalization and Segmentation of Tiling Array Data. Pacific Symposium on Biocomputing 2008: 527-538 | |
| 51 | Fabio De Bona, Stephan Ossowski, Korbinian Schneeberger, Gunnar Rätsch: Optimal spliced alignments of short sequence reads. BMC Bioinformatics 9(S-10): (2008) | |
| 50 | Regina Bohnert, Georg Zeller, Richard M. Clark, Kevin L. Childs, Victor Jun M. Ulat, Renee Stokowski, Dennis Ballinger, Kelly Frazer, David Cox, Richard M. Bruskiewich, C. Robin Buell, Jan Leach, Hei Leung, Kenneth L. McNally, Detlef Weigel, Gunnar Rätsch: Revealing sequence variation patterns in rice with machine learning methods. BMC Bioinformatics 9(S-10): (2008) | |
| 2007 | ||
| 49 | Manfred K. Warmuth, Karen A. Glocer, Gunnar Rätsch: Boosting Algorithms for Maximizing the Soft Margin. NIPS 2007 | |
| 48 | Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch: Accurate splice site prediction using support vector machines. BMC Bioinformatics 8(S-10): (2007) | |
| 47 | Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda: NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinformatics 8(S-10): (2007) | |
| 46 | Uta Schulze, Bettina Hepp, Cheng Soon Ong, Gunnar Rätsch: PALMA: mRNA to genome alignments using large margin algorithms. Bioinformatics 23(15): 1892-1900 (2007) | |
| 2006 | ||
| 45 | Gunnar Rätsch: Solving Semi-infinite Linear Programs Using Boosting-Like Methods. ALT 2006: 10-11 | |
| 44 | Gunnar Rätsch: The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods. Discovery Science 2006: 15 | |
| 43 | Hyunjung Shin, N. Jeremy Hill, Gunnar Rätsch: Graph Based Semi-supervised Learning with Sharper Edges. ECML 2006: 401-412 | |
| 42 | Manfred K. Warmuth, Jun Liao, Gunnar Rätsch: Totally corrective boosting algorithms that maximize the margin. ICML 2006: 1001-1008 | |
| 41 | Sören Sonnenburg, Alexander Zien, Gunnar Rätsch: ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) 2006: 472-480 | |
| 40 | Gunnar Rätsch, Sören Sonnenburg: Large Scale Hidden Semi-Markov SVMs. NIPS 2006: 1161-1168 | |
| 39 | Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics 7(S-1): (2006) | |
| 38 | Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research 7: 1531-1565 (2006) | |
| 2005 | ||
| 37 | Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf: Large scale genomic sequence SVM classifiers. ICML 2005: 848-855 | |
| 36 | Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf: RASE: recognition of alternatively spliced exons in C.elegans. ISMB (Supplement of Bioinformatics) 2005: 369-377 | |
| 35 | Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: A General and Efficient Multiple Kernel Learning Algorithm. NIPS 2005 | |
| 34 | Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. RECOMB 2005: 389-407 | |
| 33 | Koji Tsuda, Gunnar Rätsch: Image reconstruction by linear programming. IEEE Transactions on Image Processing 14(6): 737-744 (2005) | |
| 32 | Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich: Classifying 'Drug-likeness' with Kernel-Based Learning Methods. Journal of Chemical Information and Modeling 45(2): 249-253 (2005) | |
| 31 | Gunnar Rätsch, Manfred K. Warmuth: Efficient Margin Maximizing with Boosting. Journal of Machine Learning Research 6: 2131-2152 (2005) | |
| 30 | Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth: Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. Journal of Machine Learning Research 6: 995-1018 (2005) | |
| 2004 | ||
| 29 | Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch: Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures Springer 2004 | |
| 28 | Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth: Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. NIPS 2004 | |
| 2003 | ||
| 27 | Koji Tsuda, Gunnar Rätsch: Image Reconstruction by Linear Programming. NIPS 2003 | |
| 26 | 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. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 623-633 (2003) | |
| 25 | Manfred K. Warmuth, Jun Liao, Gunnar Rätsch, Michael Mathieson, Santosh Putta, Christian Lemmen: Active Learning with Support Vector Machines in the Drug Discovery Process. Journal of Chemical Information and Computer Sciences 43(2): 667-673 (2003) | |
| 2002 | ||
| 24 | Gunnar Rätsch, Manfred K. Warmuth: Maximizing the Margin with Boosting. COLT 2002: 334-350 | |
| 23 | Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller: New Methods for Splice Site Recognition. ICANN 2002: 329-336 | |
| 22 | Ron Meir, Gunnar Rätsch: An Introduction to Boosting and Leveraging. Machine Learning Summer School 2002: 118-183 | |
| 21 | Gunnar Rätsch, Alexander J. Smola, Sebastian Mika: Adapting Codes and Embeddings for Polychotomies. NIPS 2002: 513-520 | |
| 20 | Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller: Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1184-1199 (2002) | |
| 19 | Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett: Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Machine Learning 48(1-3): 189-218 (2002) | |
| 18 | Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel from Probabilistic Models. Neural Computation 14(10): 2397-2414 (2002) | |
| 2001 | ||
| 17 | Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller: Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. ICANN 2001: 331-338 | |
| 16 | Manfred K. Warmuth, Gunnar Rätsch, Michael Mathieson, Jun Liao, Christian Lemmen: Active Learning in the Drug Discovery Process. NIPS 2001: 1449-1456 | |
| 15 | Gunnar Rätsch, Sebastian Mika, Manfred K. Warmuth: On the Convergence of Leveraging. NIPS 2001: 487-494 | |
| 14 | Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984 | |
| 13 | Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Soft Margins for AdaBoost. Machine Learning 42(3): 287-320 (2001) | |
| 2000 | ||
| 12 | Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller: Barrier Boosting. COLT 2000: 170-179 | |
| 11 | Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller: A Mathematical Programming Approach to the Kernel Fisher Algorithm. NIPS 2000: 591-597 | |
| 10 | Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller: Robust Ensemble Learning for Data Mining. PAKDD 2000: 341-344 | |
| 9 | Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller: Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics 16(9): 799-807 (2000) | |
| 1999 | ||
| 8 | 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. German Conference on Bioinformatics 1999: 37-43 | |
| 7 | Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Invariant Feature Extraction and Classification in Kernel Spaces. NIPS 1999: 526-532 | |
| 6 | Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika: v-Arc: Ensemble Learning in the Presence of Outliers. NIPS 1999: 561-567 | |
| 5 | Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola: Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10(5): 1000-1017 (1999) | |
| 1998 | ||
| 4 | Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: An Improvement of AdaBoost to Avoid Overfitting. ICONIP 1998: 506-509 | |
| 3 | Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch: Kernel PCA and De-Noising in Feature Spaces. NIPS 1998: 536-542 | |
| 2 | Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Regularizing AdaBoost. NIPS 1998: 564-570 | |
| 1997 | ||
| 1 | Klaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik: Predicting Time Series with Support Vector Machines. ICANN 1997: 999-1004 | |