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A deep reinforcement learning approach to multistage stochastic network flows for distribution problems
(Instituto Tecnológico de Costa Rica, 2022-05-27)
Distribution networks are a crucial part of supply chains that often entail highly
complex optimization problems. An NP-hard example is minimizing the longterm
transportation cost of multiple kinds of goods over a time ...
Clustering of Cases from Di erent Subtypes of Breast Cancer Using a Hop eld Network Built from Multi-omic Data
(Instituto Tecnológico de Costa Rica, 2018)
Despite scienti c advances, breast cancer still constitutes a worldwide major cause of death
among women. Given the great heterogeneity between cases, distinct classi cation schemes
have emerged. The intrinsic molecular ...