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learning
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A Study on Web2.0 Blending Learning
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Multi Agent Reinforcement Learning for Gridworld Soccer Leadingpass
Modeling of aircraft fuel consumption using machine learning algorithms
A Reinforcement Learning Enhanced Fuzzy Control for Real-Time Off-Road Traction System
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Low-Cost Surface Classification System Supported by Deep Neural Models
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Reduced-order models for aerodynamic applications, loads and MDO
Effective Durability and Damage Tolerance Training: New Methods for Modern Learners
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets