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Optimal Clustering under Uncertainty
Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty
Classical clustering algorithms typically either lack an underlying probability framework to make them predictive or focus on parameter estimation rather than defining and minimizi…
Experimental Design via Generalized Mean Objective Cost of Uncertainty
Shahin Boluki, Xiaoning Qian, Edward R. Dougherty
The mean objective cost of uncertainty (MOCU) quantifies the performance cost of using an operator that is optimal across an uncertainty class of systems as opposed to using an ope…
Autonomous Efficient Experiment Design for Materials Discovery with Bayesian Model Averaging
Anjana Talapatra, Shahin Boluki, Thien Duong +3
The accelerated exploration of the materials space in order to identify configurations with optimal properties is an ongoing challenge. Current paradigms are typically centered aro…