K
Klaus-Robert Müller
Researcher at Technical University of Berlin
Publications - 799
Citations - 98394
Klaus-Robert Müller is an academic researcher from Technical University of Berlin. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 129, co-authored 764 publications receiving 79391 citations. Previous affiliations of Klaus-Robert Müller include Korea University & University of Tokyo.
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Journal ArticleDOI
Forecasting industrial aging processes with machine learning methods
Mihail Bogojeski,Simeon Sauer,Franziska Horn,Klaus-Robert Müller,Klaus-Robert Müller,Klaus-Robert Müller +5 more
TL;DR: In this article, a wider range of data-driven models, comparing some traditional stateless models (linear and kernel ridge regression, feed-forward neural networks) to more complex recurrent neural networks (echo state networks and LSTMs), were evaluated on real-world data from a large scale chemical plant.
Journal ArticleDOI
Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]
TL;DR: Kernel methods offer a number of unique advantages for signal processing, and this special issue aims to review some of those.
Journal ArticleDOI
Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain
Mina Jamshidi Idaji,Klaus-Robert Müller,Guido Nolte,Burkhard Maess,Arno Villringer,Arno Villringer,Vadim V. Nikulin +6 more
TL;DR: The main idea of NID is that nonlinearly coupled brain oscillations can be mixed in such a way that the resulting linear mixture has a non-Gaussian distribution.
Proceedings ArticleDOI
Analysis of nonstationary time series by mixtures of self-organizing predictors
TL;DR: The proposed method allows one to analyze even continuously varying dynamics and can identify mixtures of more than two dynamical modes and is based on a mixture of self-organizing Nadaraya-Watson kernel estimators.