Artificial intelligence and machine learning are reshaping how investors build and maintain portfolios. These tools bring ...

Abstract: Clustering is a common method used in machine learning to group sample points in a dataset. Gaussian Mixture Clustering (GMC) is a clustering method based on maximum likelihood estimation ...

Abstract: Federated Learning (FL) has been extensively applied in urban environmental prediction tasks of mobile edge computing by training a global machine learning model without data sharing.

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...