Search results for: Bernhard Schölkopf
Machine Learning > 2019 > 108 > 8-9 > 1329-1351
Springer Handbooks of Computational Statistics
Molecular Imaging and Biology > 2017 > 19 > 3 > 391-397
Studies in Fuzziness and Soft Computing > Feature Extraction > Feature Selection Challenge > 439-445
Lecture Notes in Computer Science > Information Hiding > 133-144
Lecture Notes in Computer Science > Computational Learning Theory > Statistical Theory of Learning and Pattern Recognition > 214-229
Lecture Notes in Computer Science > Principles of Data Mining and Knowledge Discovery > Invited Papers > 494-511
Lecture Notes in Computer Science > Knowledge Discovery and Data Mining. Current Issues and New Applications > Induction > 341-344
Lecture Notes in Computer Science > KI 2009: Advances in Artificial Intelligence > Machine Learning and Data Mining > 144-152
Lecture Notes in Computer Science > Computational Intelligence and Bioinspired Systems > Learning and Adaptation > 176-191
Lecture Notes in Computer Science > Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment > 1-27