Quadrature-based features for kernel approximation
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Updated
Oct 30, 2018 - Python
Quadrature-based features for kernel approximation
Multi-Shot Approximation of Discounted Cost MDPs
Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset
Codes and experiments for paper "Automated Spectral Kernel Learning". Preprint.
Reference implementation for our paper "Curiously Effective Features for Image Quality Prediction"
Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"
Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features''
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