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Gunnar Rätsch
Gunnar Rätsch
Professor, ETH Zürich
Dirección de correo verificada de inf.ethz.ch - Página principal
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An introduction to kernel-based learning algorithms
KR Muller, S Mika, G Rätsch, K Tsuda, B Scholkopf
IEEE transactions on neural networks 12 (2), 181-201, 2001
4709*2001
Fisher discriminant analysis with kernels
S Mika, G Raetsch, B Scholkopf, KR Muller
Neural networks for signal processing IX, 1999
36981999
The molecular taxonomy of primary prostate cancer
A Abeshouse, J Ahn, R Akbani, A Ally, S Amin, CD Andry, M Annala, ...
Cell 163 (4), 1011-1025, 2015
20282015
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
The Journal of Machine Learning Research 7, 1531-1565, 2006
16692006
Soft margins for AdaBoost
G Rätsch, T Onoda, KR Müller
Machine learning 42 (3), 287-320, 2001
16162001
Input space versus feature space in kernel-based methods
B Scholkopf, S Mika, CJC Burges, P Knirsch, KR Muller, G Ratsch, ...
IEEE transactions on neural networks 10 (5), 1000-1017, 1999
16081999
Kernel PCA and de-noising in feature spaces
S Mika, B Schölkopf, A Smola, KR Müller, M Scholz, G Rätsch
Advances in neural information processing systems 11, 1998
13111998
Predicting time series with support vector machines
KR Müller, AJ Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik
International conference on artificial neural networks, 999-1004, 1997
12811997
Determination and inference of eukaryotic transcription factor sequence specificity
MT Weirauch, A Yang, M Albu, AG Cote, A Montenegro-Montero, P Drewe, ...
Cell 158 (6), 1431-1443, 2014
12622014
Integrative Analysis of the Caenorhabditis elegans Genome by the modENCODE Project
MB Gerstein, ZJ Lu, EL Van Nostrand, C Cheng, BI Arshinoff, T Liu, ...
Science 330 (6012), 1775-1787, 2010
10232010
Pan-cancer analysis of whole genomes
Nature 578 (7793), 82-93, 2020
9002020
Challenging common assumptions in the unsupervised learning of disentangled representations
F Locatello, S Bauer, M Lucic, G Raetsch, S Gelly, B Schölkopf, O Bachem
international conference on machine learning, 4114-4124, 2019
8522019
Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana
RM Clark, G Schweikert, C Toomajian, S Ossowski, G Zeller, P Shinn, ...
science 317 (5836), 338-342, 2007
8172007
Support vector machines and kernels for computational biology
A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch
PLoS computational biology 4 (10), e1000173, 2008
6942008
Support vector machines and kernels for computational biology
A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch
PLoS computational biology 4 (10), e1000173, 2008
6942008
Multiple reference genomes and transcriptomes for Arabidopsis thaliana
X Gan, O Stegle, J Behr, JG Steffen, P Drewe, KL Hildebrand, R Lyngsoe, ...
Nature 477 (7365), 419-423, 2011
6912011
Assessment of transcript reconstruction methods for RNA-seq
T Steijger, JF Abril, PG Engström, F Kokocinski, TJ Hubbard, R Guigó, ...
Nature methods 10 (12), 1177-1184, 2013
6532013
Genomewide SNP variation reveals relationships among landraces and modern varieties of rice
KL McNally, KL Childs, R Bohnert, RM Davidson, K Zhao, VJ Ulat, ...
6512009
An introduction to boosting and leveraging
R Meir, G Rätsch
Advanced lectures on machine learning, 118-183, 2003
6492003
Engineering support vector machine kernels that recognize translation initiation sites
A Zien, G Rätsch, S Mika, B Schölkopf, T Lengauer, KR Müller
Bioinformatics 16 (9), 799-807, 2000
6222000
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20