Abstract: This paper proposes a Gaussian-Cauchy mixture maximum correntropy criterion Kalman filter algorithm (GCM_MCCKF) for robust state estimation in linear systems under non-Gaussian noise, ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

When handling exceptions in a KernelFunction, what is considered best practice ? Documentation is very sparse and unclear. Say you have the following example function //Kernel Function to add two ...

Here’s an analysis of the letter bearing Donald Trump’s name that was included in a 50th birthday book for Jeffrey Epstein. The Wall Street Journal in July reported on the 2003 birthday book and ...

We have 7 agents, and each agent has approximately 30+ functions. These functions are being passed as arguments when making the invoke method call. This setup was working fine until last week. However ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, height, high school GPA, and so on.

A new Linux rootkit malware called Pumakit has been discovered that uses stealth and advanced privilege escalation techniques to hide its presence on systems. The malware is a multi-component set that ...