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 ...

Abstract: Outliers in multivariate sensor signals affect the performance of online change point detection (CPD) algorithms. Data pre-processing to eliminate outliers is a standard solution, but it may ...

Abstract: Quantum neural networks (QNNs) have shown remarkable potential due to their capability of representing complex functions within exponentially large Hilbert spaces. However, their application ...