Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...
Broadcast TV continues to draw big audiences. And they are increasingly getting special events, award shows and sports — lots of sports. By John Koblin MTV’s “Video Music Awards” had been a cable-only ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Introduction: Since the rise of molecular high-throughput technologies, many diseases are now studied on multiple omics layers in parallel. Understanding the interplay between microRNAs (miRNA) and ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph-based neural networks and, specifically, message-passing neural networks (MPNNs) ...
Abstract: Convolutional neural networks (CNNs) are effective tools for regression tasks. However, their black-box nature limits their applicability in high-impact and high-risk tasks. In this paper, a ...
1 School of Financial Technology, Anhui Business College, Wuhu, China 2 School of Economics and Management, Southeast University, Nanjing, China The Sino–U.S. trade war and the COVID-19 epidemic have ...
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