High-dimensional inference and complex data workshop

Posters

• Parametric Statistical Classification by the Minimum Integrated Square Error Criterion
  Eric Chi, David W. Scott
• Causal Structure Learning for Famine Prediction
  Ernest Mwebaze, Washington Okori, John A. Quinn
• An algorithmic approach for (almost) full-automatic identification and quantification of metabolites in NMR measurements of cell extracts
  F.-M. Schleif, Thomas Riemer, Uta Börner, Rüdiger Alt, Lydia Schnapka-Hille, Thomas Villmann, Christoph Wierling, Ralf Herwig, Stefan Leidich, Michael Cross
• Tanimoto metric in Tree-SOM for better representation of high-dimensional mass spectrometry data with an underlying taxonomic structure
  Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner
• Adaptive Metrics for Content Based Image Retrieval in Dermatology
  Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman
• Nonlinear Dimension Reduction and Visualization of Labeled Data
  Kerstin Bunte, Barbara Hammer, Michael Biehl
• Prediction of the chemical structure reconstruction quality
  Olga Domanova, Marc Zimmermann
• Assessment of strategies for the application of elastic net penalized likelihood regression to survival analysis of simulated high-dimensional gene expression data
  Levi Waldron, Igor Jurisica, Melania Pintilie