This repository contains Python code used to implement methodologies and reproduce results in Hogan, J. and Adams, Niall M., Multi-view Generalised Kernel Machines for Regression, Classification and Outlier Detection.
The MVGKM method is implemented in the mvglm_algo.py module. The implementation depends on and is designed to be compatible with the scikit-multimodallearn package.
The uWave, LibriCount and MVSA directories contain the data pre-processing, cross-validation and results analysis scripts used to produce the results in the paper.