Predictive power has always been the main research focus of learning algorithms with the goal of minimizing the test … on sparse learning in order to avoid overfitting which can greatly affect the accuracy of out-of-sample prediction … response whereas even sparse-learning methods can still preserve a high number of attributes in high-dimensional settings and …

research has not examined whether individual differences in insular sensitivity predict learning to avoid aversive stimuli. In … that in addition to correlating with self-reported anxiety, heightened insular sensitivity may promote learning to avoid …

Purpose: This study describes the trends and applications of machine learning systems in the management of water supply … networks. Machine learning is a field in constant development, and it has a great potential and capability to attain … created a range of possibilities to apply machine learning. One particular case is the prediction of pipe failures based on …