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) ...
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 ...
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 ...
A New Variable Forgetting-Factor and Variable Step-Size FxLMS Algorithm for Active Vibration Control
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 ...
Abstract: This paper presents a variable step-size diffusion least-mean-square algorithm that considers both input and quantization noise in digital communication, particularly in wireless sensor ...
Our study used the linked SEER-Medicare data. The patient samples included fee-for-service Medicare beneficiaries diagnosed with lung cancer from 2010 to 2011 (development cohort) and 2012 to 2013 ...
When variables are passed, the function directly works on their memory locations. Hence, swapping inside the function affects the original variables. Algorithm Start. Define a function that takes two ...
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