Abstract: Reliability is a critical requirement for classifiers that generate maps of land use and land cover (LULC), and these classifiers are highly sought after. Particularly, machine learning ...

Abstract: This study proposes a tourism route optimization algorithm based on reinforcement learning, which achieves multi-objective optimization (such as shortest time, lowest cost, best experience, ...

In this chapter, we use a search tree structure to efficiently implement a sorted map. The three most fundamental methods of a map M are M[k] implemented with __getitem, M[k] = v using __setitem__ and ...

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...