Schölkopf, Bernhard.
Schölkopf, Bernhard, 1968-
Schölkopf, Bernhard, 19..-....
Schölkopf, Bernard
Bernhard Schölkopf deutscher Informatiker
VIAF ID: 120744638 ( Personal )
Permalink: http://viaf.org/viaf/120744638
Preferred Forms
- 100 0 _ ‡a Bernhard Schölkopf ‡c deutscher Informatiker
-
-
-
- 100 1 _ ‡a Schölkopf, Bernhard
-
- 100 1 _ ‡a Schölkopf, Bernhard ‡d 1968-
- 100 1 _ ‡a Schölkopf, Bernhard, ‡d 19..-....
- 100 1 _ ‡a Schölkopf, Bernard
-
-
- 100 1 _ ‡a Schölkopf, Bernhard
-
-
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 |
---|---|
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 | |
Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies | |
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 | |
Epidural electrocorticography for monitoring of arousal in locked-in state | |
Handbook of statistical bioinformatics | |
Inf. sci. stat. (Print) | |
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 with kernels : support vector machines, regularization, optimization, and beyond | |
Machine Learning Strategies for Large-scale Taxonomies | |
Modellierungs- und Lernverfahren für Bildentrauschung | |
Modelling and Learning Approaches to Image Denoising | |
NIPS-19 | |
On a kernel based method for pattern recognition, regression, approximation and operator inversion | |
On Probabilistic Conditional Independence Structures | |
Predicting structured data | |
Semi-supervised learning | |
Strategies d'apprentissage pour la classification dans les grandes taxonomies. | |
Ways to boost digital efforts to tackle the pandemic |