Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Decision Tree Classification variants are among the most popular machine learning algorithms and have been applied in various fields with success. Their versatility and popularity along with the ease ...

Abstract: This study investigates the quality inspection and optimal decision-making in production processes using a dynamic programming algorithm. The primary objective is to develop a sampling ...