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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.

Papers
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Journal ArticleDOI

Classification of structured validation data using stateless and stateful features

TL;DR: Using non-proprietary data analysis can enable feature representations nearly as expressive as those created by using proprietary analysis methods, which allows a broader application of the proposed methods, due to the lower processing requirements.
Proceedings ArticleDOI

A new scatter-based multi-class support vector machine

TL;DR: A novel interpretation of the dual of support vector machines (SVMs) in terms of scatter with respect to class prototypes and their mean is provided, providing a new joint Scatter SVM algorithm, at the level of its binary counterpart in the number of optimization variables.
Journal ArticleDOI

Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology

TL;DR: Poster presentation Despite its young age, functional Magnetic Resonance Imaging (fMRI) has become one of the most popular brain imaging techniques, however, the relationship between brain activity and the blood oxygen level dependent (BOLD) contrast as measured with fMRI is not yet fully understood.
Journal ArticleDOI

Virtual screening for PPAR-gamma ligands using the ISOAK molecular graph kernel and gaussian processes

TL;DR: A combination of machine learning techniques, employing a graph kernel, Gaussian process regression and clustered cross-validation, are introduced to find ligands of peroxisome-proliferator activated receptor gamma (PPAR-y) in a virtual screening study.
Patent

Method and system for analyzing messages

TL;DR: In this article, the authors present a method and system for analyzing messages transmitted in a communication network, which comprises the steps of determining an information-related citation index indicating how often information comprised in a message has been forwarded in consecutive messages to other users of the communication network.