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Robert Müller

Showing results (11-20 of 309) with videos related to

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Molecular Informatics|July 29, 2016
Editorial: Charting Chemical Space: Challenges and Opportunities for Artificial Intelligence and Machine LearningPierre Baldi, Klaus-Robert Müller, Gisbert Schneider
IEEE Reviews in Biomedical Engineering|November 19, 2013
Divergence-based framework for common spatial patterns algorithmsWojciech Samek, Motoaki Kawanabe, Klaus-Robert Müller
Der Pathologe|April 11, 2022
[Artificial intelligence: a solution for the lack of pathologists?]Philipp Jurmeister, Klaus-Robert Müller, Frederick Klauschen
Neural Computation|April 9, 2004
Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regressionMasashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
Plos Computational Biology|August 8, 2009
A generalized framework for quantifying the dynamics of EEG event-related desynchronizationSteven Lemm, Klaus-Robert Müller, Gabriel Curio
Neural Networks : the Official Journal of the International Neural Network Society|September 19, 2009
Improving BCI performance by task-related trial pruningClaudia Sannelli, Mikio Braun, Klaus-Robert Müller
Journal of Chemical Theory and Computation|May 8, 2023
Reconstructing Kernel-Based Machine Learning Force Fields with Superlinear ConvergenceStefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Pathologie (Heidelberg, Germany)|April 24, 2025
[Foundation models in pathology]Frederick Klauschen, Jonas Dippel, Klaus-Robert Müller
Journal of Chemical Theory and Computation|May 12, 2018
Many-Body Descriptors for Predicting Molecular Properties with Machine Learning: Analysis of Pairwise and Three-Body Interactions in MoleculesWiktor Pronobis, Alexandre Tkatchenko, Klaus-Robert Müller
Plos One|February 7, 2020
Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation dataGuido Schwenk, Ben Jochinke, Klaus-Robert Müller
Pageof 31

Showing results (11-20 of 309) with videos related to

Sort By:
Pageof 31
Molecular Informatics|July 29, 2016
Editorial: Charting Chemical Space: Challenges and Opportunities for Artificial Intelligence and Machine LearningPierre Baldi, Klaus-Robert Müller, Gisbert Schneider
IEEE Reviews in Biomedical Engineering|November 19, 2013
Divergence-based framework for common spatial patterns algorithmsWojciech Samek, Motoaki Kawanabe, Klaus-Robert Müller
Der Pathologe|April 11, 2022
[Artificial intelligence: a solution for the lack of pathologists?]Philipp Jurmeister, Klaus-Robert Müller, Frederick Klauschen
Neural Computation|April 9, 2004
Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regressionMasashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
Plos Computational Biology|August 8, 2009
A generalized framework for quantifying the dynamics of EEG event-related desynchronizationSteven Lemm, Klaus-Robert Müller, Gabriel Curio
Neural Networks : the Official Journal of the International Neural Network Society|September 19, 2009
Improving BCI performance by task-related trial pruningClaudia Sannelli, Mikio Braun, Klaus-Robert Müller
Journal of Chemical Theory and Computation|May 8, 2023
Reconstructing Kernel-Based Machine Learning Force Fields with Superlinear ConvergenceStefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Pathologie (Heidelberg, Germany)|April 24, 2025
[Foundation models in pathology]Frederick Klauschen, Jonas Dippel, Klaus-Robert Müller
Journal of Chemical Theory and Computation|May 12, 2018
Many-Body Descriptors for Predicting Molecular Properties with Machine Learning: Analysis of Pairwise and Three-Body Interactions in MoleculesWiktor Pronobis, Alexandre Tkatchenko, Klaus-Robert Müller
Plos One|February 7, 2020
Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation dataGuido Schwenk, Ben Jochinke, Klaus-Robert Müller
Pageof 31