ei
Muandet, K.
Support Vector Machines, Support Measure Machines, and Quasar Target Selection
Center for Cosmology and Particle Physics (CCPP), New York University, December 2012 (talk)
ei
Muandet, K.
Hilbert Space Embedding for Dirichlet Process Mixtures
NIPS Workshop on Confluence between Kernel Methods and Graphical Models, December 2012 (talk)
ps
Hirshberg, D., Loper, M., Rachlin, E., Black, M. J.
Coregistration: Supplemental Material
(No. 4), Max Planck Institute for Intelligent Systems, October 2012 (techreport)
ps
Freifeld, O., Black, M. J.
Lie Bodies: A Manifold Representation of 3D Human Shape. Supplemental Material
(No. 5), Max Planck Institute for Intelligent Systems, October 2012 (techreport)
ps
Butler, D. J., Wulff, J., Stanley, G. B., Black, M. J.
MPI-Sintel Optical Flow Benchmark: Supplemental Material
(No. 6), Max Planck Institute for Intelligent Systems, October 2012 (techreport)
ei
Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Schick, F., Pichler, B.
Simultaneous small animal PET/MR in activated and resting state reveals multiple brain networks
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)
ei
Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Reischl, G., Schick, F., Pichler, B.
A new PET insert for simultaneous PET/MR small animal imaging
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)
ei
Hossain, M., Wehrl, H., Lankes, K., Liu, C., Bezrukov, I., Reischl, G., Pichler, B.
Evaluation of a new, large field of view, small animal PET/MR system
50. Jahrestagung der Deutschen Gesellschaft fuer Nuklearmedizin (NuklearMedizin), April 2012 (talk)
ei
Grosse-Wentrup, M., Schölkopf, B.
High Gamma-Power Predicts Performance in Brain-Computer Interfacing
(3), Max-Planck-Institut für Intelligente Systeme, Tübingen, February 2012 (techreport)
ps
Soren Hauberg, Kim S. Pedersen
HUMIM Software for Articulated Tracking
(01/2012), Department of Computer Science, University of Copenhagen, January 2012 (techreport)
ps
Aasa Feragen, Mads Nielsen, Soren Hauberg, Pechin Lo, Marleen de Bruijne, Francois Lauze
A geometric framework for statistics on trees
(11/02), Department of Computer Science, University of Copenhagen, January 2012 (techreport)
ei
Wehrl, H., Hossain, M., Lankes, K., Liu, C., Bezrukov, I., Martirosian, P., Reischl, G., Schick, F., Pichler, B.
Simultaneous small animal PET/MR reveals different brain networks during stimulation and rest
World Molecular Imaging Congress (WMIC), 2012 (talk)
ei
Muandet, K.
Support Measure Machines for Quasar Target Selection
Astro Imaging Workshop, 2012 (talk)
ei
Seldin, Y.
PAC-Bayesian Analysis: A Link Between Inference and Statistical Physics
Workshop on Statistical Physics of Inference and Control Theory, 2012 (talk)
ei
Liu, C., Hossain, M., Lankes, K., Bezrukov, I., Wehrl, H., Kolb, A., Judenhofer, M., Pichler, B.
PET Performance Measurements of a Next Generation Dedicated Small Animal PET/MR Scanner
Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), 2012 (talk)
ei
Seldin, Y., Laviolette, F., Shawe-Taylor, J.
PAC-Bayesian Analysis of Supervised, Unsupervised, and Reinforcement Learning
Tutorial at the 29th International Conference on Machine Learning (ICML), 2012 (talk)
ei
Bezrukov, I., Schmidt, H., Mantlik, F., Schwenzer, N., Brendle, C., Pichler, B.
Influence of MR-based attenuation correction on lesions within bone and susceptibility artifact regions
Molekulare Bildgebung (MoBi), 2012 (talk)
ei
Boularias, A., Kroemer, O., Peters, J.
Structured Apprenticeship Learning
European Workshop on Reinforcement Learning (EWRL), 2012 (talk)
ei
Seldin, Y., Laviolette, F., Shawe-Taylor, J.
PAC-Bayesian Analysis and Its Applications
Tutorial at The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2012 (talk)
ei
Deisenroth, M., Peters, J.
Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise
European Workshop on Reinforcement Learning (EWRL), 2012 (talk)
ei
Nishiyama, Y., Boularias, A., Gretton, A., Fukumizu, K.
Kernel Bellman Equations in POMDPs
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML'12), 2012 (talk)
ei
Panagiotaropoulos, T., Besserve, M., Logothetis, N.
Beta oscillations propagate as traveling waves in the macaque prefrontal cortex
42nd Annual Meeting of the Society for Neuroscience (Neuroscience), 2012 (talk)
al
Der, R., Martius, G.
The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots
Springer, Berlin Heidelberg, 2012 (book)
ps
Fossati, A., Gall, J., Grabner, H., Ren, X., Konolige, K.
Consumer Depth Cameras for Computer Vision - Research Topics and Applications
Advances in Computer Vision and Pattern Recognition, Springer, 2012 (book)
ei
Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., Smola, A.
A Kernel Method for the Two-Sample-Problem
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)
ei
Schweikert, G., Zeller, G., Zien, A., Ong, C., de Bona, F., Sonnenburg, S., Phillips, P., Rätsch, G.
Ab-initio gene finding using machine learning
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)
ei
Peters, J.
Reinforcement Learning by Reward-Weighted Regression
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)
ei
Saigo, H., Kadowaki, T., Kudo, T., Tsuda, K.
Graph boosting for molecular QSAR analysis
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)
ei
Kim, D., Sra, S., Dhillon, I.
A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem
(TR-06-54), Univ. of Texas, Austin, December 2006 (techreport)
ei
Sun, X., Janzing, D., Schölkopf, B.
Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)
ei
Toussaint, M., Harmeling, S., Storkey, A.
Probabilistic inference for solving (PO)MDPs
(934), School of Informatics, University of Edinburgh, December 2006 (techreport)
ei
Sinz, F., Schölkopf, B.
Minimal Logical Constraint Covering Sets
(155), Max Planck Institute for Biological Cybernetics, Tübingen, December 2006 (techreport)
ei
Farquhar, J., Hill, J., Schölkopf, B.
Learning Optimal EEG Features Across Time, Frequency and Space
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)
ei
Zien, A.
Semi-Supervised Learning
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)
ei
Biessmann, F.
New Methods for the P300 Visual Speller
(1), (Editors: Hill, J. ), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2006 (techreport)
ei
Hofmann, M., Steinke, F., Judenhofer, M., Claussen, C., Schölkopf, B., Pichler, B.
A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images
IEEE Medical Imaging Conference, November 2006 (talk)
ei
Shen, H., Jegelka, S., Gretton, A.
Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function
(PA006080), National ICT Australia, Canberra, Australia, October 2006 (techreport)
ei
Zien, A.
Semi-Supervised Support Vector Machines and Application to Spam Filtering
ECML Discovery Challenge Workshop, September 2006 (talk)
ei
Chapelle, O., Schölkopf, B., Zien, A.
Semi-Supervised Learning
pages: 508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 (book)
ei
Habeck, M.
Inferential Structure Determination: Probabilistic determination and validation of NMR structures
Gordon Research Conference on Computational Aspects of Biomolecular
NMR, September 2006 (talk)
ei
von Luxburg, U.
A tutorial on spectral clustering
(149), Max Planck Institute for Biological Cybernetics, Tübingen, August 2006 (techreport)
ei
Schweikert, G., Zeller, G., Clark, R., Ossowski, S., Warthmann, N., Shinn, P., Frazer, K., Ecker, J., Huson, D., Weigel, D., Schölkopf, B., Rätsch, G.
Machine Learning Algorithms for Polymorphism Detection
2nd ISCB Student Council Symposium, August 2006 (talk)
ei
Zien, A., Raetsch, G., Ong, C.
Towards the Inference of Graphs on Ordered Vertexes
(150), Max Planck Institute for Biological Cybernetics, Tübingen, August 2006 (techreport)
ei
Habeck, M.
Inferential structure determination: Overview and new developments
Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 (talk)
ei
Rasmussen, C., Görür, D.
MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models
ICML Workshop on Learning with Nonparametric Bayesian Methods, June 2006 (talk)
ei
Görür, D., Rasmussen, C.
Sampling for non-conjugate infinite latent feature models
(Editors: Bernardo, J. M.), 8th Valencia International Meeting on Bayesian Statistics (ISBA), June 2006 (talk)
ei
Sra, S., Dhillon, I.
Nonnegative Matrix Approximation: Algorithms and Applications
Univ. of Texas, Austin, May 2006 (techreport)
ei
Zien, A., Ong, C.
An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization
(146), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006 (techreport)
ei
Chapelle, O.
Training a Support Vector Machine in the Primal
(147), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006, The version in the "Large Scale Kernel Machines" book is more up to date. (techreport)
ei
Clark, R., Ossowski, S., Schweikert, G., Rätsch, G., Shinn, P., Zeller, G., Warthmann, N., Fu, G., Hinds, D., Chen, H., Frazer, K., Huson, D., Schölkopf, B., Nordborg, M., Ecker, J., Weigel, D.
An Inventory of Sequence Polymorphisms For Arabidopsis
17th International Conference on Arabidopsis Research, April 2006 (talk)