Abstract: Edge computing devices ideally need to process large amounts of sensor data and execute machine learning models in real-time. Deploying deep learning algorithms can be challenging in ...

Abstract: The growing demand for complex machine learning models has increased the use of black-box models, such as random forests and artificial neural networks, posing significant challenges ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...