Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
EDITOR’S NOTE: This story involves discussion about suicide that some readers may find upsetting. If you feel you are in crisis, call or text 988 to reach the 24-hour Suicide Crisis Lifeline. Zane ...
ABSTRACT: Over the past decade, financial fraud has emerged as a critical challenge in rural communities, where limited financial literacy, weak digital infrastructure, and social vulnerabilities make ...
On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...
A data breach of the Tea app recently exposed users' selfies, IDs, and private messages. The breach shows the risk of giving out your sensitive information to new apps. Cybersecurity experts say ...
Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...
What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
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