A new variable selection method was proposed recently by a research team from the Institute of Intelligent Machines, Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) ...

Abstract: The step-size in the Filtered-x Least Mean Square (FxLMS) algorithm significantly impacts the algorithm's convergence speed and steady-state error. To ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

This repository provides code for a doubly robust algorithm for Proxy Causal Learning (PCL) using kernel methods, avoiding density ratio estimation. All code is written in Python 3 using the JAX ...

Abstract: The existing adaptive filtering algorithms in distributed networks do not take into account the case of non-zero mean non-Gaussian noise. In response to this issue, a robust diffusion kernel ...

This note reports on a method for solving the general integer linear programming problem that is called the Bounded Variable Algorithm. It first describes the basic algorithm and then makes a ...

This project applies the PC Algorithm, a constraint-based causal discovery method, to a real-world dataset (diabetes_data.xlsx). It identifies statistically significant causal relationships between ...