Anomaly detection on multivariate key performance indicators (KPIs) is a key procedure for the quality and reliability of large-scale cyber-physical systems (CPSs). Although extensive efforts have ...

[2] On shrinkage estimation for balanced loss functions. Journal of Multivariate Analysis (2020). [3] Bayes minimax estimation of the multivariate normal mean vector under balanced loss function.

In nonparametric multivariate regression analysis, we seek methods to reduce the dimensionality of the regression function to bypass the difficulty caused by the curse of dimensionality. The original ...

This project presents a SAGEConv Graph Neural Network Model for Multivariate Regression designed for the Google Quest Q&A Challenge Dataset. The model focuses on predicting the subjective aspects of ...

We compared our new algorithm, called General Value Function Outlier Detection (GVFOD), to existing methods for outlier detection in multivariate data. As GVFOD uses reinforcement learning methods, we ...

mvsp is a Python implementation of the protocols presented in Quantum state preparation for multivariate functions. The protocols are based on function approximations with finite Fourier or Chebyshev ...

It is shown that a necessary and sufficient condition for an Archimedean copula generator to generate a d-dimensional copula is that the generator is a d-monotone function. The class of d-dimensional ...