Hakutulokset - Schölkopf, Bernhard

Learning causality and causality-related learning: some recent progress Tekijä Zhang, Kun, Schölkopf, Bernhard, Spirtes, Peter, Glymour, Clark

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Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis Tekijä Besserve, Michel, Schölkopf, Bernhard, Logothetis, Nikos K., Panzeri, Stefano

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Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm Tekijä Daneshmand, Hadi, Gomez-Rodriguez, Manuel, Song, Le, Schölkopf, Bernhard

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Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination Tekijä Zhang, Kun, Huang, Biwei, Zhang, Jiji, Glymour, Clark, Schölkopf, Bernhard

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Causal Discovery from Temporally Aggregated Time Series Tekijä Gong, Mingming, Zhang, Kun, Schölkopf, Bernhard, Glymour, Clark, Tao, Dacheng

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Generalized Score Functions for Causal Discovery Tekijä Huang, Biwei, Zhang, Kun, Lin, Yizhu, Schölkopf, Bernhard, Glymour, Clark

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Analysis of cause-effect inference by comparing regression errors Tekijä Blöbaum, Patrick, Janzing, Dominik, Washio, Takashi, Shimizu, Shohei, Schölkopf, Bernhard

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Support Vector Machines and Kernels for Computational Biology Tekijä Ben-Hur, Asa, Ong, Cheng Soon, Sonnenburg, Sören, Schölkopf, Bernhard, Rätsch, Gunnar

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Predicting motor learning performance from Electroencephalographic data Tekijä Meyer, Timm, Peters, Jan, Zander, Thorsten O, Schölkopf, Bernhard, Grosse-Wentrup, Moritz

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Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer Tekijä Besserve, Michel, Lowe, Scott C., Logothetis, Nikos K., Schölkopf, Bernhard, Panzeri, Stefano

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Domain Adaptation with Conditional Transferable Components Tekijä Gong, Mingming, Zhang, Kun, Liu, Tongliang, Tao, Dacheng, Glymour, Clark, Schölkopf, Bernhard

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Phenomenal Causality and Sensory Realism Tekijä Meding, Kristof, Bruijns, Sebastian A., Schölkopf, Bernhard, Berens, Philipp, Wichmann, Felix A.

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Enhancing human learning via spaced repetition optimization Tekijä Tabibian, Behzad, Upadhyay, Utkarsh, De, Abir, Zarezade, Ali, Schölkopf, Bernhard, Gomez-Rodriguez, Manuel

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Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows Tekijä Huang, Biwei, Zhang, Kun, Zhang, Jiji, Sanchez-Romero, Ruben, Glymour, Clark, Schölkopf, Bernhard

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Absence of EEG correlates of self-referential processing depth in ALS Tekijä Fomina, Tatiana, Weichwald, Sebastian, Synofzik, Matthis, Just, Jenifer, Schöls, Ludger, Schölkopf, Bernhard, Grosse-Wentrup, Moritz

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Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning Tekijä Rätsch, Gunnar, Sonnenburg, Sören, Srinivasan, Jagan, Witte, Hanh, Müller, Klaus-R, Sommer, Ralf-J, Schölkopf, Bernhard

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Real-time prediction of COVID-19 related mortality using electronic health records Tekijä Schwab, Patrick, Mehrjou, Arash, Parbhoo, Sonali, Celi, Leo Anthony, Hetzel, Jürgen, Hofer, Markus, Schölkopf, Bernhard, Bauer, Stefan

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Modeling confounding by half-sibling regression Tekijä Schölkopf, Bernhard, Hogg, David W., Wang, Dun, Foreman-Mackey, Daniel, Janzing, Dominik, Simon-Gabriel, Carl-Johann, Peters, Jonas

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A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation Tekijä Katiyar, Prateek, Divine, Mathew R., Kohlhofer, Ursula, Quintanilla-Martinez, Leticia, Schölkopf, Bernhard, Pichler, Bernd J., Disselhorst, Jonathan A.

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Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test Tekijä Babbar, Rohit, Heni, Martin, Peter, Andreas, Hrabě de Angelis, Martin, Häring, Hans-Ulrich, Fritsche, Andreas, Preissl, Hubert, Schölkopf, Bernhard, Wagner, Róbert

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