Frontiers

Clinical Problem Selection for Machine Learning-Based Clinical Decision Support in the Intensive Care Unit: Complexity, Actionability, and the Way Forward

1 Department of Pediatrics, Division of Cardiology, University of Michigan Medical School, Ann Arbor, United States 2 Department of Computational Medicine and Bioinformatics, University of Michigan ...
IEEE

A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...
IEEE

Evaluating the Potential of Reinforcement Learning for Stochastic Machine Scheduling Problems

Abstract: Finding a policy for stochastic scheduling problems on parallel machines is a complicated task, as the problem is already NP-hard in the deterministic case. The problem becomes even more ...