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Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
The Development of E-Learning System for Fractal Fern Graphics Based on Iterated Function System
Spacecraft Anomaly Detection via Transformer Reconstruction Error
Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Recognize Multi-people Interaction Activity by PCA-HMMs
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Network Control Systems for Large-Scale Constellations
Multi Agent Reinforcement Learning for Gridworld Soccer Leadingpass
Low-Cost Surface Classification System Supported by Deep Neural Models
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach