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

Abstract: Multivariate time series forecasting (MTSF) requires capturing both local intra-variable patterns and global cross-timestep dependencies. Existing data processing strategies are divided into ...