Learning with kernels: support vector machines, regularization, optimization, and beyond

por Schölkopf, Bernhard, Smola, Alexander J
Publicado 2002

Handbook of Statistical Bioinformatics

por Lu, Henry, Schölkopf, Bernhard, Zhao, Hongyu
Publicado 2011

Empirical inference: festschrift in honor of Vladimir N. Vapnik

por Schölkopf, Bernhard, Luo, Zhiyuan, Vovk, Vladimir
Publicado 2013

Kernel mean embedding of distributions: a review and beyond

por Muandet, Krikamol, Fukumizu, Kenji, Sriperumbudur, Bharath, Schölkopf, Bernhard
Publicado 2017

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis

por Besserve, Michel, Schölkopf, Bernhard, Logothetis, Nikos K., Panzeri, Stefano
Publicado 2010

Analysis of cause-effect inference by comparing regression errors

por Blöbaum, Patrick, Janzing, Dominik, Washio, Takashi, Shimizu, Shohei, Schölkopf, Bernhard
Publicado 2019

Support Vector Machines and Kernels for Computational Biology

por Ben-Hur, Asa, Ong, Cheng Soon, Sonnenburg, Sören, Schölkopf, Bernhard, Rätsch, Gunnar
Publicado 2008

Predicting motor learning performance from Electroencephalographic data

por Meyer, Timm, Peters, Jan, Zander, Thorsten O, Schölkopf, Bernhard, Grosse-Wentrup, Moritz
Publicado 2014

Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer

por Besserve, Michel, Lowe, Scott C., Logothetis, Nikos K., Schölkopf, Bernhard, Panzeri, Stefano
Publicado 2015

Phenomenal Causality and Sensory Realism

por Meding, Kristof, Bruijns, Sebastian A., Schölkopf, Bernhard, Berens, Philipp, Wichmann, Felix A.
Publicado 2020

Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases

por Mehrjou, Arash, Soleymani, Ashkan, Abyaneh, Amin, Bhatt, Samir, Schölkopf, Bernhard, Bauer, Stefan
Publicado 2023

Evaluating vaccine allocation strategies using simulation-assisted causal modeling

por Kekić, Armin, Dehning, Jonas, Gresele, Luigi, von Kügelgen, Julius, Priesemann, Viola, Schölkopf, Bernhard
Publicado 2023

Enhancing human learning via spaced repetition optimization

por Tabibian, Behzad, Upadhyay, Utkarsh, De, Abir, Zarezade, Ali, Schölkopf, Bernhard, Gomez-Rodriguez, Manuel
Publicado 2019

ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning

por Mineeva, Olga, Danciu, Daniel, Schölkopf, Bernhard, Ley, Ruth E., Rätsch, Gunnar, Youngblut, Nicholas D.
Publicado 2023

Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning

por Hawkins-Hooker, Alex, Visonà, Giovanni, Narendra, Tanmayee, Rojas-Carulla, Mateo, Schölkopf, Bernhard, Schweikert, Gabriele
Publicado 2023

Absence of EEG correlates of self-referential processing depth in ALS

por Fomina, Tatiana, Weichwald, Sebastian, Synofzik, Matthis, Just, Jenifer, Schöls, Ludger, Schölkopf, Bernhard, Grosse-Wentrup, Moritz
Publicado 2017

Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning

por Rätsch, Gunnar, Sonnenburg, Sören, Srinivasan, Jagan, Witte, Hanh, Müller, Klaus-R, Sommer, Ralf-J, Schölkopf, Bernhard
Publicado 2007

Real-time prediction of COVID-19 related mortality using electronic health records

por Schwab, Patrick, Mehrjou, Arash, Parbhoo, Sonali, Celi, Leo Anthony, Hetzel, Jürgen, Hofer, Markus, Schölkopf, Bernhard, Bauer, Stefan
Publicado 2021

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

por Katiyar, Prateek, Divine, Mathew R., Kohlhofer, Ursula, Quintanilla-Martinez, Leticia, Schölkopf, Bernhard, Pichler, Bernd J., Disselhorst, Jonathan A.
Publicado 2016