Search Results for author:
Found 2 papers, 0 papers with code
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making
To solve these issues and offer predictive maintenance, this research introduces a hybrid fault diagnosis expert system method that combines density-based spatial clustering of applications with noise (DBSCAN) and principal component analysis (PCA).
Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits
In this paper, we study multi-armed bandit problems in explore-then-commit setting.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
