ei
Besserve, M.
Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism
53rd Annual Allerton Conference on Communication, Control, and Computing, September 2015 (talk)
ei
Besserve, M.
Independence of cause and mechanism in brain networks
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
ei
Chaves, R., Majenz, C., Luft, L., Maciel, T., Janzing, D., Schölkopf, B., Gross, D.
Information-Theoretic Implications of Classical and Quantum Causal Structures
18th Conference on Quantum Information Processing (QIP), 2015 (talk)
ei
Foreman-Mackey, D., Hogg, D. W., Schölkopf, B.
The search for single exoplanet transits in the Kepler light curves
IAU General Assembly, 22, pages: 2258352, 2015 (talk)
ei
Hill, NJ.
Machine Learning for Brain-Computer Interfaces
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)
ei
Seldin, Y.
PAC-Bayesian Approach to Formulation of Clustering Objectives
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)
ei
Shelton, JA.
Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data
Women in Machine Learning Workshop (WiML), December 2009 (talk)
ei
Hill, NJ.
Event-Related Potentials in Brain-Computer Interfacing
Invited lecture on the bachelor & masters course "Introduction to Brain-Computer Interfacing", October 2009 (talk)
ei
Hill, NJ.
BCI2000 and Python
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)
ei
Hill, NJ., Mellinger, J.
Implementing a Signal Processing Filter in BCI2000 Using C++
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)
ei
Kober, J., Peters, J., Oztop, E.
Learning Motor Primitives for Robotics
Advanced Telecommunications Research Center ATR, June 2009 (talk)
ei
Lampert, C.
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009 (talk)
ei
Saigo, H., Hattori, M., Tsuda, K.
Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Sonnenburg, S., Zien, A., Philips, P., Rätsch, G.
Positional Oligomer Importance Matrices
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Schweikert, G., Zeller, G., Weigel, D., Schölkopf, B., Rätsch, G.
Machine Learning Algorithms for Polymorphism Detection
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Zien, A., Ong, C.
An Automated Combination of Kernels for Predicting Protein Subcellular Localization
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Hill, NJ.
Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration
Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 (talk)
ei
Peters, J.
Policy Learning for Robotics
14th International Conference on Neural Information Processing (ICONIP), November 2007 (talk)
ei
Gretton, A.
Hilbert Space Representations of Probability Distributions
2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 (talk)
ei
Kashima, H., Yamazaki, K., Saigo, H., Inokuchi, A.
Regression with Intervals
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)
ei
Hofmann, M., Steinke, F., Scheel, V., Brady, M., Schölkopf, B., Pichler, B.
MR-Based PET Attenuation Correction: Method and Validation
Joint Molecular Imaging Conference, September 2007 (talk)
ei
Habeck, M.
Bayesian methods for NMR structure determination
29th Annual Discussion Meeting: Magnetic Resonance in Biophysical Chemistry, September 2007 (talk)
ei
Wu, M.
Collaborative Filtering via Ensembles of Matrix Factorizations
KDD Cup and Workshop, August 2007 (talk)
ei
Hill, NJ.
Thinking Out Loud: Research and Development of Brain Computer Interfaces
Invited keynote talk at the Max Planck Society‘s PhDNet Workshop., July 2007 (talk)
ei
Wu, M.
Local Learning Algorithms for Transductive Classification, Clustering and Data Projection
Yahoo Inc., July 2007 (talk)
ei
Görür, D., Rasmussen, C.
Dirichlet Process Mixtures of Factor Analysers
Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), June 2007 (talk)
ei
Hill, N., Raths, C.
New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams
Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces, June 2007 (talk)
ei
Peters, J.
Towards Motor Skill Learning in Robotics
Interactive Robot Learning - RSS workshop, June 2007 (talk)
ei
Zien, A., Brefeld, U., Scheffer, T.
Transductive Support Vector Machines for Structured Variables
International Conference on Machine Learning (ICML), June 2007 (talk)
ei
Martens, S., Hill, J., Farquhar, J., Schölkopf, B.
Impact of target-to-target interval on classification performance in the P300 speller
Scientific Meeting "Applied Neuroscience for Healthy Brain Function", May 2007 (talk)
ei
Hill, N., Farquhar, J.
New Margin- and Evidence-Based Approaches for EEG Signal Classification
Invited talk at the FaSor Jahressymposium, February 2007 (talk)
ei
Chapelle, O.
Some thoughts about Gaussian Processes
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)
ei
Chapelle, O.
A taxonomy of semi-supervised learning algorithms
Yahoo!, December 2005 (talk)
ei
Wu, M., Schölkopf, B., BakIr, G.
Building Sparse Large Margin Classifiers
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)
ei
Zhou, D.
Learning from Labeled and Unlabeled Data on a Directed Graph
The 22nd International Conference on Machine Learning, August 2005 (talk)
ei
Bensch, M., Bogdan, M., Hill, N., Lal, T., Rosenstiel, W., Schölkopf, B., Schröder, M.
Machine-Learning Approaches to BCI in Tübingen
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)
ei
Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Belitski, A., Augath, M., Murayama, Y., Schölkopf, B., Logothetis, N.
Kernel Constrained Covariance for Dependence Measurement
AISTATS, January 2005 (talk)