Abstract: The choice of hyperparameter(s) notably affects the support recovery in LASSO-like sparse regression problems, acting as an implicit model order selection. Parameters are typically selected ...
ABSTRACT: State-of-the-art antenna design and optimization (D/O) is increasingly being done using Global Search and Optimization (GSO) algorithms such as Ant Colony Optimization (ACO), Particle Swarm ...
ABSTRACT: A means to develop a comparative assessment of the risks of available wastewater effluent disposal options on a local scale needs to be developed to help local decision-makers make decisions ...
Add a description, image, and links to the probablistic-matching topic page so that developers can more easily learn about it.
Quantum Error Mitigation: using Machine Learning This project demonstrates quantum error mitigation techniques using machine learning to improve the reliability of ...
Abstract: The current approaches to manage risk in Grid computing are a major step towards the provision of Quality of Service (QoS) to the end-user. However these approaches are based on node or ...
Allen Institute researchers have launched a new predictive, comprehensive model of a living human cell. The 3D model has been released as a public resource that will allow researchers to study human ...