2 papers
cs.LG2021
Creating Powerful and Interpretable Models with Regression Networks
Lachlan O'Neill, Simon Angus, Satya Borgohain +2
As the discipline has evolved, research in machine learning has been focused more and more on creating more powerful neural networks, without regard for the interpretability of the…
cs.LG2018
Proximity Forest: An effective and scalable distance-based classifier for time series
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier +5
Research into the classification of time series has made enormous progress in the last decade. The UCR time series archive has played a significant role in challenging and guiding…