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Bernhard Schölkopf (1968-)

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Name	Bernhard Schölkopf
Time	1968- (Date of birth and death)
Place	Stuttgart (Geburtsort) Tübingen (Wirkungsort) Deutschland Schweiz
Academic degree	Prof. Dr.
Profession	Informatiker (characteristic profession) Physiker Mathematiker
Variant	Bernhard Schoelkopf
Related	Eidgenössische Technische Hochschule Zürich Max-Planck-Institut für Biologische Kybernetik Deutsche Akademie der Naturforscher Leopoldina (Mitglied, Matrikelnummer 07680) (2016-)
Topic	Personen zu Informatik, Datenverarbeitung
Source	Homepage: http://is.tuebingen.mpg.de/person/bs (Stand: 27.02.2018) Landesbibliographie Baden-Württemberg
Record type	Person
GND-Identifier	14184633X
Record ID	14184633X
Involved in show all Better together : : data harmonization and cross-study analysis of abdominal MRI data from UK biobank and the German National Cohort Better together: data harmonization and cross-study analysis of abdominal MRI data from UK Biobank and the German National Cohort Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies Handbook of statistical bioinformatics Ways to boost digital efforts to tackle the pandemic A 32‐channel multi‐coil setup optimized for human brain shimming at 9.4T Inferring causation from time series in Earth system sciences Data scarcity, robustness and extreme multi-label classification Distribution-Dissimilarities in Machine Learning Causal Discovery Beyond Conditional Independences A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference Blind Retrospective Motion Correction of MR Images Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik Epidural electrocorticography for monitoring of arousal in locked-in state From Points to Probability Measures : Statistical Learning on Distributions with Kernel Mean Embedding Predicting motor learning performance from Electroencephalographic data Empirical inference : Festschrift in honor of Vladimir N. Vapnik Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models Modelling and Learning Approaches to Image Denoising Handbook of Statistical Bioinformatics Multi-way set enumeration in weight tensors Handbook of statistical bioinformatics At-TAX: a whole genome tiling array resource for developmental expression analysis and transcript identification in Arabidopsis thaliana Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces Learning theory and kernel machines : proceedings Learning theory and kernel machines : proceedings On a kernel based method for pattern recognition, regression, approximation and operator inversion Support vector learning

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Katalog der Deutschen Nationalbibliothek

Bernhard Schölkopf (1968-)

Better together : : data harmonization and cross-study analysis of abdominal MRI data from UK biobank and the German National Cohort

Better together: data harmonization and cross-study analysis of abdominal MRI data from UK Biobank and the German National Cohort

Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

Handbook of statistical bioinformatics

Ways to boost digital efforts to tackle the pandemic

A 32‐channel multi‐coil setup optimized for human brain shimming at 9.4T

Inferring causation from time series in Earth system sciences

Data scarcity, robustness and extreme multi-label classification

Distribution-Dissimilarities in Machine Learning

Causal Discovery Beyond Conditional Independences

A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation

Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference

Blind Retrospective Motion Correction of MR Images

Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik

Epidural electrocorticography for monitoring of arousal in locked-in state

From Points to Probability Measures : Statistical Learning on Distributions with Kernel Mean Embedding

Predicting motor learning performance from Electroencephalographic data

Empirical inference : Festschrift in honor of Vladimir N. Vapnik

Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models

Modelling and Learning Approaches to Image Denoising

Handbook of Statistical Bioinformatics

Multi-way set enumeration in weight tensors

Handbook of statistical bioinformatics

At-TAX: a whole genome tiling array resource for developmental expression analysis and transcript identification in Arabidopsis thaliana

Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces

Learning theory and kernel machines : proceedings

Learning theory and kernel machines : proceedings

On a kernel based method for pattern recognition, regression, approximation and operator inversion

Support vector learning