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Machine Learning & Computational Biology Lab

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      • Confounder-corrected Classification with Support Vector Machines
      • Significant Pattern Mining (Westfall-Young Light)
      • Significant Pattern Mining with Covariates (FACS)
      • Multi-view Spectral Clustering on Conflicting Views
      • Kernel Conditional Clustering
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  • 2016

2016

Initial Training Network "Machine Learning for Personalized Medicine" is ending

MLPM logo

We are concluding our very successful Initial Training Network on "Machine Learning for Personalized Medicine" - happy about all we achieved, sad that it's over!

22.12.2016 by Katharina Heinrich

NIPS video online

Spotlight video for the paper "Finding significant combinations of features in the presence of categorical covariates" published at NIPS 2016.

06.12.2016 by Katharina Heinrich

Karsten chosen as one of the "Top 40 under 40" in 2016

Karsten Borgwardt

Karsten was again included in the ranking "Top 40 under 40" in State & Society in Germany.

25.11.2016 by Katharina Heinrich

Krupp Symposium

Krupp symposium

On October 21, Karsten hosted the 2016 Krupp Symposium on "From Machine Learning for Personalized Medicine" at the Max Planck Institute of Psychiatry in Munich.

21.11.2016 by Katharina Heinrich

New group member

MLCB logo

Thomas Gumbsch joins the group.

01.11.2016 by Katharina Heinrich

MLCB at GitHub

GitHub Logo

We have consolidated the software and data from more than 20 research projects in one GitHub site.

25.10.2016 by Katharina Heinrich

Karsten at Fraunhofer Institute for Industrial Mathematics ITWM

Logo of the Fraunhofer Institute for ITWM

Karsten visited the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern last week, and talked about "Machine Learning for Personalized Medicine" and "Significant Pattern Mining".

04.10.2016 by Katharina Heinrich

Karsten keynote speaker at the ECCB workshop in The Hague

Karsten was keynote speaker at the ECCB workshop on "Complex Network Analysis for Precision Medicine" in The Hague on September 3.

16.09.2016 by Katharina Heinrich

Paper accepted for NIPS 2016

NIPS logo

Our most recent work in Significant Pattern Mining by Laetitia, Felipe, Dean and Karsten was accepted at NIPS 2016!

12.08.2016 by Katharina Heinrich

"Halting in Random Walk Kernels" by M. Sugiyama and K. Borgwardt ranked as one of the top 5 papers in 2015

IBISML

The premier machine learning meeting in Japan ranked the NIPS paper "Halting in Random Walk Kernels" by Mahito Sugiyama and Karsten Borgwardt as one of the top 5 papers in 2015 (IEICE TC-IBISML Research Award Finalist)!

05.07.2016 by Katharina Heinrich

Dominik and Karsten contributed to the 1001 Genomes Project Flagship Paper

Cell

How do plants that, unlike humans and animals, cannot simply relocate adapt to environmental changes? How did plants spread over the continent and develop variations? 

09.06.2016 by Katharina Heinrich

New group member

MLCB lab

Lukas Folkman joins the group.

01.06.2016 by Katharina Heinrich

MLCB at the European Conference on Human Genetics

ESHG conference

Barcelona, May 21-24, 2016.

21.05.2016 by Katharina Heinrich

New group member

MLCB lab

Katharina Heinrich joins the group

01.05.2016 by Katharina Heinrich

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