Bernhard Schölkopf deutscher Informatiker
Schölkopf, Bernhard.
Schölkopf, Bernhard, 1968-
Schölkopf, Bernhard, 19..-....
Schölkopf, Bernard
VIAF ID: 120744638 (Personal)
Permalink: http://viaf.org/viaf/120744638
Preferred Forms
- 100 0 _ ‡a Bernhard Schölkopf ‡c deutscher Informatiker
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- 100 1 _ ‡a Schölkopf, Bernhard
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- 100 1 _ ‡a Schölkopf, Bernhard ‡d 1968-
- 100 1 _ ‡a Schölkopf, Bernhard, ‡d 19..-....
- 100 1 _ ‡a Schölkopf, Bernard
- 100 1 _ ‡a Schölkopf, Bernhard
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4xx's: Alternate Name Forms (10)
5xx's: Related Names (5)
- 510 2 _ ‡a Deutsche Akademie der Naturforscher Leopoldina ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Max-Planck-Institut für Biologische Kybernetik ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Max-Planck-Institut für Biologische Kybernetik
- 551 _ _ ‡a Stuttgart ‡4 ortg ‡4 https://d-nb.info/standards/elementset/gnd#placeOfBirth
- 551 _ _ ‡a Tübingen ‡4 ortw ‡4 https://d-nb.info/standards/elementset/gnd#placeOfActivity
Works
Title | Sources |
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A 32‐channel multi‐coil setup optimized for human brain shimming at 9.4T | |
Advances in large-margin classifiers | |
Advances in neural information processing systems | |
Better together: data harmonization and cross-study analysis of abdominal MRI data from UK Biobank and the German National Cohort | |
Blind Retrospective Motion Correction of MR Images | |
Causal Discovery Beyond Conditional Independences | |
COLT 2003 | |
Distribution-Dissimilarities in Machine Learning | |
Elements of causal inference : foundations and learning algorithms | |
Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik | |
Handbook of statistical bioinformatics | |
Inf. sci. stat. (Internet) | |
Inferenz von Intentionen zur Entscheidungsfindung mittels Hierarchischen Gaußprozess Dynamik-Modellen | |
Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models | |
Kernel mean embedding of distributions : a review and beyond | |
Kernel methods in computational biology | |
Learning theory and kernel machines : 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003 : proceedings | |
Learning to Find Pre-Images | |
Learning view graphs for robot navigation | |
Learning with Hypergraphs: Clustering, Classification, and Embedding | |
Learning with kernels : support vector machines, regularization, optimization, and beyond | |
Learning with Local and Global Consistency | |
A Machine Learning Approach for Non-blind Image Deconvolution | |
Machine Learning Strategies for Large-scale Taxonomies | |
Markerless Tracking of Dynamic 3D Scans of Faces | |
Modellierungs- und Lernverfahren für Bildentrauschung | |
The moon tilt illusion | |
Navigation mit Schnappschüssen | |
NIPS-19 | |
Nonlinear Component Analysis as a Kernel Eigenvalue Problem | |
normflows: A PyTorch Package for Normalizing Flows | |
A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation | |
On a kernel based method for pattern recognition, regression, approximation and operator inversion | |
On the empirical estimation of integral probability metrics | |
On the Transfer of Disentangled Representations in Realistic Settings | |
An online brain-computer interface based on shifting attention to concurrent streams of auditory stimuli | |
Perceiving the arrow of time in autoregressive motion | |
Personalized brain-computer interface models for motor rehabilitation | |
Phenomenal Causality and Sensory Realism | |
The population of long-period transiting exoplanets | |
Predicting motor learning performance from Electroencephalographic data | |
Predicting structured data | |
Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test. | |
Probabilistic movement modeling for intention inference in human–robot interaction | |
Protein functional class prediction with a combined graph | |
Prototype classification: insights from machine learning | |
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases | |
Ranking on Data Manifolds | |
Real-time fetal heart monitoring in biomagnetic measurements using adaptive real-time ICA. | |
The representer theorem for Hilbert spaces: a necessary and sufficient condition | |
Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing | |
A Review of Performance Variations in SMR-Based Brain−Computer Interfaces (BCIs) | |
Robust Ensemble Learning for Data Mining | |
Sampling Techniques for Kernel Methods | |
Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS. | |
Semi-Supervised Domain Adaptation with Non-Parametric Copulas | |
Semi-supervised learning | |
Semiparametric Support Vector and Linear Programming Machines | |
Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer | |
Shrinking the Tube: A New Support Vector Regression Algorithm | |
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake | |
Sparse online model learning for robot control with support vector regression | |
Spread-spectrum magnetic resonance imaging | |
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. | |
Structure and dynamics of information pathways in online media | |
Support vector channel selection in BCI. | |
Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra | |
Switched Latent Force Models for Movement Segmentation | |
A SYSTEMATIC SEARCH FOR TRANSITING PLANETS IN THEK2DATA | |
Task-induced frequency modulation features for brain-computer interfacing. | |
Toward Causal Representation Learning | |
Towards brain-robot interfaces in stroke rehabilitation | |
Towards denoising XMCD movies of fast magnetization dynamics using extended Kalman filter. | |
Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques | |
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study | |
A unifying view of wiener and volterra theory and polynomial kernel regression. | |
The unpopular Package: A Data-driven Approach to Detrending TESS Full-frame Image Light Curves | |
Using probabilistic movement primitives for striking movements | |
Voluntary brain regulation and communication with electrocorticogram signals. | |
Ways to boost digital efforts to tackle the pandemic | |
Where did I take that snapshot? Scene-based homing by image matching |