Type | Name | Files | Added | Size | DLs | ||
A Compression Approach to Support Vector Model Selection | 1 | 1.36MB | 86 | 2+ | 0 | ||
Tracking a Small Set of Experts by Mixing Past Posteriors | 1 | 64.74kB | 34 | 1+ | 0 | ||
Distance-Based Classification with Lipschitz Functions (Special Topic on Learning Theory) | 1 | 153.01kB | 35 | 1+ | 0 | ||
A Tutorial on Conformal Prediction | 1 | 75.34kB | 47 | 3+ | 0 | ||
Stability and Generalization | 1 | 210.94kB | 39 | 2+ | 0 | ||
Scikit-learn: Machine Learning in Python | 1 | 42.31kB | 2,481 | 17+ | 0 | ||
Building Support Vector Machines with Reduced Classifier Complexity (Special Topic on Machine Learning and Optimization) | 1 | 244.17kB | 52 | 1+ | 0 | ||
Combining PAC-Bayesian and Generic Chaining Bounds | 1 | 237.12kB | 37 | 2+ | 0 | ||
Kernel Methods for Measuring Independence | 1 | 478.95kB | 33 | 2+ | 0 |