MPI-Research: BUAV-SOKO Claims & Reality Commentary, by Nikos K. Logothetis, Monday, 24 November 2014 The research aim of the physiology department at the Max Planck Institute for Biological Cybernetics (MPIBC) is to und

Source URL: news.sciencemag.org

Relative Entropy Policy Search Jan Peters, Katharina M¨ ulling, Yasemin Altun Max Planck Institute for Biological Cybernetics, Spemannstr. 38, 72076 T¨ ubingen, Germany {jrpeters,muelling,altun}@tuebingen.mpg.de

Source URL: www.ausy.informatik.tu-darmstadt.de

myCopter Enabling Technologies for Personal Aerial Transportation Systems Project status after 2.5 years Frank M. Nieuwenhuizen, Lewis L. Chuang and Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics,

Source URL: www.mycopter.eu

An Experimental Comparison of Haptic and Automated Pilot Support Systems Mario Olivari∗ Max Planck Institute for Biological Cybernetics, 72076 T¨ ubingen, Germany University of Pisa, 56126 Pisa, Italy

Source URL: www.mycopter.eu

Reinforcement Learning by Reward-weighted Regression for Operational Space Control Jan Peters Max-Planck Institute for Biological Cybernetics, 72074 Tuebingen, Germany

Source URL: www-clmc.usc.edu

• Estimation theory
• Reinforcement learning
• Expectation–maximization algorithm
• Linear regression
• Humanoid robot
• Supervised learning
• Stability
• Q-learning
• Statistics
• Machine learning
• Learning

6.6. BERNHARD SCHÖLKOPF CHAPTER 6. EMPIRICAL INFERENCE 6.6 Bernhard Schölkopf Personal

Source URL: people.tuebingen.mpg.de

• Machine learning
• Cybernetics
• Computational neuroscience
• Conference on Neural Information Processing Systems
• Bernhard Schölkopf
• Max Planck Society
• Max Planck Institute for Biological Cybernetics
• International Conference on Machine Learning
• Terry Sejnowski
• Artificial intelligence
• Science
• Neuroscience

Method description Thomas Navin Lal and Olivier Chapelle {navin.lal, olivier.chapelle}@tuebingen.mpg.de Max Planck Institute for Biological Cybernetics, T¨

Source URL: clopinet.com

A Tutorial on Spectral Clustering Ulrike von Luxburg Max Planck Institute for Biological Cybernetics Spemannstr. 38, 72076 T¨ ubingen, Germany [removed]

Source URL: www.kyb.mpg.de

• Algebraic graph theory
• Linear algebra
• Matrix theory
• Spectral clustering
• Graph partition
• Eigenvalues and eigenvectors
• Laplacian matrix
• Spectral graph theory
• Adjacency matrix
• Algebra
• Mathematics
• Graph theory

Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis Matthew B. Blaschko, Christoph H. Lampert, and Arthur Gretton Max Planck Institute for Biological Cybernetics Department of Empirical Infe

Source URL: eprints.pascal-network.org

• Machine learning
• Linear algebra
• Quantum field theory
• Summability methods
• Tikhonov regularization
• Regularization
• Supervised learning
• Laplacian matrix
• Eigenvalues and eigenvectors
• Algebra
• Mathematics
• Mathematical analysis

Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI Jacquelyn A. Shelton Frankfurt Institute for Advanced Studies Max Planck Institute for Biological Cybernetics

Source URL: www.is.tuebingen.mpg.de

• Cognitive science
• Functional magnetic resonance imaging
• Non-parametric statistics
• Kolmogorov–Smirnov test
• Voxel
• G factor
• Statistical parametric mapping
• Statistics
• Neuroimaging
• Magnetic resonance imaging