Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Inverse Reinforcement Learning via a Modified Kleinman Iteration Approach

Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...
IEEE

Multilayer Perceptron Grouping and Sparse Gaussian Process-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multiobjective Optimization

Abstract: Gaussian processes (GPs) have attracted considerable attention in assisting evolutionary algorithms (EAs) to solve computationally expensive optimization problems (EOPs) because they can ...
Forbes

Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...
Scientific Research Publishing

Binsawad, M. (2025). Enhanced Financial Fraud Detection Using an Adaptive Voted Perceptron Model with Optimized Learning and Error Reduction. Electronics, 14, Article 1875.

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 ...
Scientific Research Publishing

Bikku, T. (2020) Multi-Layered Deep Learning Perceptron Approach for Health Risk Prediction. Journal of Big Data, 7, Article No. 50.

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...
Education Week

Is It Bad to Memorize All Those Algorithms in Math?

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...
INSPIRE

Efficient learning algorithm for quantum perceptron unitary weights

For the past two decades, researchers have attempted to create a Quantum Neural Network (QNN) by combining the merits of quantum computing and neural computing. In order to exploit the advantages of ...