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Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables. This leaves a critical gap in anticipating fiscal stress events. Machine ...
A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The ...
Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn the optimal ...
In machine learning, KNN and SVM use different methods for regression & classification. KNN is an instance-based, non-parametric learning algorithm.
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...
In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...