Fast ramp fraction loss SVM classifier with low computational complexity for pattern classification
H Wang, W Li - Neural Networks, 2025 - Elsevier
The support vector machine (SVM) is a powerful tool for pattern classification thanks to its
outstanding efficiency. However, when encountering extensive classification tasks, the …
outstanding efficiency. However, when encountering extensive classification tasks, the …
Change point analysis of events in social networks: An online convex optimization approach
Nowadays, online social networks play a crucial role in sha** human communication in
various life activities. Social Network Analysis (SNA) provides valuable insights for …
various life activities. Social Network Analysis (SNA) provides valuable insights for …
[PDF][PDF] Machine Learning Techniques Towards Accurate Emotion Classification from EEG Signals
A Rachini, LA Hassn, E El Ahmar… - WSEAS Transactions on …, 2024 - researchgate.net
This article delves into using machine learning algorithms for emotion classification via EEG
brain signals. The goal is to discover an accurate model beyond traditional methods …
brain signals. The goal is to discover an accurate model beyond traditional methods …
Generalized Lyapunov Matrix Model for Stability Analysis of Nonlinear Time-Varying Systems
IV Nikiforov, H Cheng - papers.ssrn.com
The advancement of modern science and technology relies on accurate modeling and
optimal control of complex systems, which increasingly exhibit nonlinear, time-varying, and …
optimal control of complex systems, which increasingly exhibit nonlinear, time-varying, and …