Sören Sonnenburg
homepage:http://sonnenburgs.de/soeren/category/
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Description

I am currently a postdoc at the Machine Learning / Intelligent Data Analysis Group at the Berlin Institute of Technology in Berlin. I have been working in the IDA group at the Fraunhofer Institute FIRST and the Friedrich Miescher Laboratory of the Max Planck Society in Tübingen.

I am intrigued by sequence based machine learning methods involving large data sets and have developed several machine learning methods for bioinformatics applications such as splice site recognition, promoter detection and gene finding. I also worked on microarray analysis and motif discovery.


Lectures:

debate
flag Reproducible research
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
together with: Mikio Braun,
64 views
  debate
flag Exchanging Software and Data
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
44 views
lecture
flag The next steps after UCI - mldata.org
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
66 views
  lecture
flag Shogun
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
280 views
opening
flag Welcome and Overview of the Workshop on Machine Learning Open Source
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
together with: Mikio Braun,
116 views
  debate
flag Reproducible research
as author at  NIPS Workshop on Machine Learning Open Source Software, Whistler 2008,
together with: Mikio Braun, Cheng Soon Ong,
121 views
introduction
flag Introduction and overwiew of the Machine Learning Open Source Software workshop
as author at  NIPS Workshop on Machine Learning Open Source Software, Whistler 2008,
235 views
  lecture
flag Large Scale Learning - Challenge: Discussion and Summary
as author at  Workshops,
53 views
lecture
flag Interior Point SVM
as author at  Workshops,
244 views
  lecture
flag Large Scale Learning - Challenge
as author at  Workshops,
together with: Vojtech Franc,
134 views
lecture
flag Challenge with Large Scale Problems
as author at  Pascal Symposium meeting, Bled 2008,
102 views
  lecture
flag Machine learning open source software
as author at  Pascal Symposium meeting, Bled 2008,
317 views
lecture
flag Large Scale Learning with String Kernels
as author at  NIPS Workshop on Efficient Machine Learning, Whistler 2007,
1409 views
  lecture
flag Learning with Millions of Examples and Dimensions - Competition proposal
as author at  NIPS Workshop on Efficient Machine Learning, Whistler 2007,
218 views
lecture
flag Large Scale Genomic Sequence Support Vector Machines
as author at  NIPS Workshop on Kernel Methods and Structured Domains / NIPS Workshop on Large Scale Kernel Machines, Whistler 2005,
121 views
  lecture
flag Learning interpretable SVMs for biological sequence classification
as author at  Workshop on Machine Learning, SVM and Large Scale Optimization, Thurnau 2005,
191 views