Publikationen von G Rätsch
Alle Typen
Zeitschriftenartikel (20)
1.
Zeitschriftenartikel
11, S. 1799 - 1802 (2010)
The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research 2.
Zeitschriftenartikel
2010, S. 1 - 11 (2010)
Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts. Nature Precedings 3.
Zeitschriftenartikel
19 (11), S. 2133 - 2143 (2009)
mGene: Accurate SVM-based gene finding with an application to nematode genomes. Genome Research 4.
Zeitschriftenartikel
37 (Supplement 2), S. W312 - W316 (2009)
mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research (London) 5.
Zeitschriftenartikel
21 (1), S. 272 - 300 (2009)
Prototype Classification: Insights from Machine Learning. Neural computation 6.
Zeitschriftenartikel
4 (10), e1000173 (2008)
Support Vector Machines and Kernels for Computational Biology. PLoS Computational Biology 7.
Zeitschriftenartikel
9 (7), R112, S. 1 - 16 (2008)
At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana. Genome Biology 8.
Zeitschriftenartikel
8, S. 2443 - 2466 (2007)
The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research 9.
Zeitschriftenartikel
317 (5836), S. 338 - 342 (2007)
Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana. Science 10.
Zeitschriftenartikel
23 (15), S. 1892 - 1900 (2007)
PALMA: mRNA to Genome Alignments using Large Margin Algorithms. Bioinformatics 11.
Zeitschriftenartikel
3 (2 ), S. 0313 - 0322 (2007)
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning. PLoS Computational Biology 12.
Zeitschriftenartikel
7, S. 1531 - 1565 (2006)
Large Scale Multiple Kernel Learning. The Journal of Machine Learning Research 13.
Zeitschriftenartikel
14 (6), S. 737 - 744 (2005)
Image Reconstruction by Linear Programming. IEEE Transactions on Image Processing 14.
Zeitschriftenartikel
6, S. 995 - 1018 (2005)
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. The Journal of Machine Learning Research 15.
Zeitschriftenartikel
25 (5), S. 623 - 628 (2003)
Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 16.
Zeitschriftenartikel
14 (10), S. 2397 - 2414 (2002)
A New Discriminative Kernel from Probabilistic Models. Neural computation 17.
Zeitschriftenartikel
24 (9), S. 1184 - 1199 (2002)
Constructing Boosting algorithms from SVMs: an application to one-class classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 18.
Zeitschriftenartikel
48, S. 193 - 221 (2002)
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Machine Learning 19.
Zeitschriftenartikel
12 (2), S. 181 - 201 (2001)
An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on Neural Networks 20.
Zeitschriftenartikel
10 (5), S. 1000 - 1017 (1999)
Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks