引用次数
引用: 51,664
H-指数: 87
I10-指数 : 199
出版物: 467
An Inventory of Common Sequence Polymorphisms for Arabidopsis
B Schölkopf , M Nordborg , K Frazer , N Warthmann
17th International Conference on Arabidopsis Research (ICAR 2006) 187
2006
Schö lkopf B, Nordborg M, Rätsch G, Ecker JR, Weigel D. 2007. Common sequence polymorphisms shaping genetic diversity in Arabidopsis thaliana
RM Clark , G Schweikert , C Toomajian , S Ossowski
Science 317 ( 5836) 338 -342
12
Integrative genome-wide analysis of the determinants of RNA splicing in kidney renal clear cell carcinoma.
KJONG-VAN LEHMANN , ANDRÉ KAHLES , CYRIAC KANDOTH , WILLIAM LEE
pacific symposium on biocomputing 20 44 -55
6
2014
CANCER PANOMICS: COMPUTATIONAL METHODS AND INFRASTRUCTURE FOR INTEGRATIVE ANALYSIS OF CANCER HIGH-THROUGHPUT “OMICS” DATA
Søren Brunak , FRANCISCO M DE LA VEGA , Adam Margolin , BENJAMIN J RAPHAEL
Biocomputing 2015 8 -9
2014
An Introduction to Kernel-Based
Klaus-Robert Miuller , Sebastian Mika , Gunnar Riatsch , Koji Tsuda
IEEE TRANSACTIONS ON NEURAL NETWORKS 12 ( 2) 181 -181
2001
Kernel PCA Pattern Reconstruction
Bernhard Schiolkopf , Sebastian Mika , Alex Smola , Gunnar Riatsch
Learning interpretable SVMs for biological sequence classfication
GR Atsch , S Sonnenburg
BCM Bioinformatics 7 ( Suppl 1) 39 -39
3
2004
A. J.(1999) Input Space Versus Feature Space in Kernel-Based Methods
B Schölkopf , S Mika , CJC Burges , P Müller Knirsch
IEEE Transactions on Neural Networks 10 ( 5) 1000 -1000
2
Bioinformatics, v. 22 n. 14, p. e472-e480
Sören Sonnenburg , Alexander Zien , ARTS Gunnar Rätsch
July
2006
Soft Margins for AdaBoost
GMD Gunnar Ratsch , GMD Takashi Onoda
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
Gunnar Rätsch , Koji Tsuda , Manfred K. Warmuth
Journal of Machine Learning Research 6 ( 34) 995 -1018
187
2005
The SHOGUN Machine Learning Toolbox
Gunnar Rätsch , Alexander Zien , Sören Sonnenburg , Christian Widmer
Journal of Machine Learning Research 11 ( 60) 1799 -1802
367
2010
PALMA: Perfect Alignments using Large Margin Algorithms
Gunnar Rätsch , Bettina Hepp , Uta Schulze , Cheng Soon Ong
german conference on bioinformatics 104 -113
2
2006
Method and device for detection of splice form and alternative splice forms in dna or rna sequences
Gunnar Rätsch , Bernhard Schölkopf , Sören Sonnenburg , Klaus-Robert Müller
1
2005
Invariant Feature Extraction and Classification in Kernel Spaces
Gunnar Rätsch , Bernhard Schölkopf , Sebastian Mika , Alex J. Smola
neural information processing systems 12 526 -532
172
1999
Boosting Algorithms for Maximizing the Soft Margin
Gunnar Rätsch , Manfred K Warmuth , Karen A. Glocer
neural information processing systems 20 1585 -1592
101
2007
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Gunnar Rätsch , Sören Sonnenburg , Christian Widmer , Georg Zeller
neural information processing systems 24 2690 -2698
32
2011
v-Arc: Ensemble Learning in the Presence of Outliers
Gunnar Rätsch , Bernhard Schölkopf , Sebastian Mika , Alex J. Smola
neural information processing systems 12 561 -567
12
1999
Kernel PCA and De-Noising in Feature Spaces
Gunnar Rätsch , Bernhard Schölkopf , Sebastian Mika , Alex J. Smola
neural information processing systems 11 536 -542
1,349
1998
The Need for Open Source Software in Machine Learning
Gunnar Rätsch , Bernhard Schölkopf , Leon Bottou , Alexander Smola
Journal of Machine Learning Research 8 ( 81) 2443 -2466
150
2007
Bernhard Schölkopf Klaus-Robert Müller Sebastian Mika Soeren Sonnenburg Andre Kahles Alex Smola Georg Zeller Jonas Behr Koji Tsuda Detlef Weigel Francesco Locatello Christian Widmer Philipp Drewe-Boss Vipin T. Sreedharan Cheng Soon Ong Oliver Stegle Gabriele Schweikert Géraldine Jean Stephanie L Hyland Jason Weston