Klaus-Robert Müller

17 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• iNNvestigate Neural Networks! — Journal of Machine Learning Research 2019
• An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels — Journal of Machine Learning Research 2017
• The LRP Toolbox for Artificial Neural Networks — Journal of Machine Learning Research 2016
• Algebraic Geometric Comparison of Probability Distributions — Journal of Machine Learning Research 2012
• Kernel Analysis of Deep Networks — Journal of Machine Learning Research 2011
• The Stationary Subspace Analysis Toolbox — Journal of Machine Learning Research 2011
• Approximate Tree Kernels — Journal of Machine Learning Research 2010
• How to Explain Individual Classification Decisions — Journal of Machine Learning Research 2010
• On Relevant Dimensions in Kernel Feature Spaces — Journal of Machine Learning Research 2008
• The Need for Open Source Software in Machine Learning — Journal of Machine Learning Research 2007
• Covariate Shift Adaptation by Importance Weighted Cross Validation — Journal of Machine Learning Research 2007
• Incremental Support Vector Learning: Analysis, Implementation and Applications — Journal of Machine Learning Research 2006
• In Search of Non-Gaussian Components of a High-Dimensional Distribution — Journal of Machine Learning Research 2006
• A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation — Journal of Machine Learning Research 2004
• Feature Discovery in Non-Metric Pairwise Data — Journal of Machine Learning Research 2004
• Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation — Journal of Machine Learning Research 2003
• The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces — Journal of Machine Learning Research 2002