Nicole Krämer

Publication Activity (10 Years)

Years Active: 2005-2012
Publications (10 Years): 0

Top Topics

Connectionist Networks

Fully Connected

Learning Problems

Top Venues

Publications

Tammo Krueger, Hugo Gascon, Nicole Krämer, Konrad Rieck
Learning stateful models for network honeypots. AISec (2012)
Gilles Blanchard, Nicole Krämer
Kernel Partial Least Squares is Universally Consistent. AISTATS (2010)
Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Popescu, Klaus-Robert Müller
Comparison of Granger Causality and Phase Slope Index. NIPS Causality: Objectives and Assessment (2010)
Tammo Krueger, Nicole Krämer, Konrad Rieck
ASAP: Automatic Semantics-Aware Analysis of Network Payloads. PSDML (2010)
Gilles Blanchard, Nicole Krämer
Optimal learning rates for Kernel Conjugate Gradient regression. NIPS (2010)
Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer
Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment (2010)
Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch
The Feature Importance Ranking Measure. ECML/PKDD (2) (2009)
Nicole Krämer, Masashi Sugiyama, Mikio L. Braun
Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression. AISTATS (2009)
Nicole Krämer, Juliane Schäfer, Anne-Laure Boulesteix
Regularized estimation of large-scale gene association networks using graphical Gaussian models. BMC Bioinform. 10 (2009)
Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, Alois Schlögl
Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces. Neural Networks 22 (9) (2009)
Hiroto Saigo, Nicole Krämer, Koji Tsuda
Partial least squares regression for graph mining. KDD (2008)
Nicole Krämer, Mikio L. Braun
Kernelizing PLS, degrees of freedom, and efficient model selection. ICML (2007)
Nicole Krämer
An overview on the shrinkage properties of partial least squares regression. Comput. Stat. 22 (2) (2007)
Roman Rosipal, Nicole Krämer
Overview and Recent Advances in Partial Least Squares. SLSFS (2005)