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 ``Error Bounds for Learning with Vector-Valued Random Features''
Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"
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