Search Results for author:
Found 4 papers, 0 papers with code
Evolution of $K$-means solution landscapes with the addition of dataset outliers and a robust clustering comparison measure for their analysis
The $K$-means algorithm remains one of the most widely-used clustering methods due to its simplicity and general utility.
Physics Inspired Approaches To Understanding Gaussian Processes
Prior beliefs about the latent function to shape inductive biases can be incorporated into a Gaussian Process (GP) via the kernel.
The Loss Surface of XOR Artificial Neural Networks
Training an artificial neural network involves an optimization process over the landscape defined by the cost (loss) as a function of the network parameters.
Perspective: Energy Landscapes for Machine Learning
Machine learning techniques are being increasingly used as flexible non-linear fitting and prediction tools in the physical sciences.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
