The Shogun machine learning toolbox

Journal of Machine Learning Research

Volumn 11, Issue , 2010, Pages 1799-1802

  Sonnenburg, Sören ^a   Rätsch, Gunnar ^b   Henschel, Sebastian ^b   Widmer, Christian ^b   Behr, Jonas ^b   Zien, Alexander ^b,d   De Bona, Fabio ^b   Binder, Alexander ^a   Gehl, Christian ^a,e   Franc, Vojtěch ^c  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b FRIEDRICH MIESCHER LABORATORY OF THE MAX PLANCK SOCIETY   (Germany)

^c CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^d LIFE Biosystems GmbH   (Germany)

^e Trifense GmbH   (Germany)

Author keywords

Kernels; Large scale learning; Octave; Python; R; Support vector machines

Indexed keywords

COMMAND LINE INTERFACE; COMPUTATIONAL BIOLOGY; DATA CLASS; FEATURE TYPES; GNU GENERAL PUBLIC LICENSE; KERNELS; LEARNING SETTINGS; LINEAR DISCRIMINANT ANALYSIS; MACHINE LEARNING COMMUNITIES; MACHINE-LEARNING; MULTIPLE KERNEL LEARNING; SOURCE CODES; STAND -ALONE; TEST EXAMPLES; TRAINING EXAMPLE;

BIOINFORMATICS; DISCRIMINANT ANALYSIS; HIDDEN MARKOV MODELS; HIGH LEVEL LANGUAGES; OBJECT RECOGNITION;

SUPPORT VECTOR MACHINES;

EID: 77954666305     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, and G Rätsch. Support vector machines and kernels for computational biology. PLoS Computat Biol, 4(10): e1000173, 2008.
2. V Franc and S Sonnenburg. Optimized cutting plane algorithm for large-scale risk minimization. Journal of Machine Learning Research, 10: 2157-2192, 2009.
3. p-norm multiple kernel learning. In Proc. NIPS 21. MIT, Cambridge, MA, 2010.
4. G Rätsch and S Sonnenburg. Large-scale hidden semi-Markov SVMs. In Proc. NIPS 19, pages 1161-1168. MIT Press, Cambridge, MA, 2007.
5. G Schweikert et al. mGene: accurate SVM-based gene finding with an application to nematode genomes. Genome Research, 19(11): 2133-43, Nov 2009.
6. S Sonnenburg, G Rätsch, C Schäfer, and B Schölkopf. Large-scale multiple kernel learning. Journal of Machine Learning Research, 7: 1531-1565, 2006a.
7. S Sonnenburg, A Zien, and G Rätsch. ARTS: Accurate recognition of transcription starts in human. Bioinformatics, 22(14): e472-480, 2006b.
8. S Sonnenburg, G Rätsch, and K Rieck. Large-scale learning with string kernels. In L Bottou et al., editor, Large-Scale Kernel Machines, pages 73-103. MIT Press, 2007.
9. S Sonnenburg et al. The need for open source software in machine learning. Journal of Machine Learning Research, 8: 2443-2466, 2007.