no code implementations • 6 Apr 2018 • Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal, David J. Wales
Training an artificial neural network involves an optimization process over the landscape defined by the cost (loss) as a function of the network parameters.
no code implementations • 23 Mar 2017 • Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales
Machine learning techniques are being increasingly used as flexible non-linear fitting and prediction tools in the physical sciences.
no code implementations • 18 May 2023 • Maximilian P. Niroomand, Luke Dicks, Edward O. Pyzer-Knapp, David J. Wales
Prior beliefs about the latent function to shape inductive biases can be incorporated into a Gaussian Process (GP) via the kernel.
no code implementations • 25 Jun 2023 • Luke Dicks, David J. Wales
The $K$-means algorithm remains one of the most widely-used clustering methods due to its simplicity and general utility.