Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models.

@inproceedings{munch-2023-unlocking, author = {Maximilian M\"{u}nch and Manuel R\"{o}der and Frank-Michael Schleif}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {1867--1876}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615102}, doi = {https://doi.org/10.1145/3583780.3615102} }