A Stochastic Computational Graph with Ensemble Learning Model for solving Controller Placement Problem in Software-Defined Wide Area Networks

Computer Science

• Ensemble Learning 100%
• Wide Area Network 100%
• Metaheuristic Algorithm 40%
• Extreme Gradient Boosting 40%
• Learning Approach 20%
• Computational Efficiency 20%
• Objective Function 20%
• Load Balancing 20%
• Computational Complexity 20%
• Random Decision Forest 20%
• Mean Absolute Error 20%
• Machine Learning Approach 20%
• Total Execution Time 20%
• Learning Rate 20%
• Logistic Regression 20%
• Non-Dominated Sorting Genetic Algorithm II 20%
• Average Execution Time 20%
• Gradient Boosting Tree 20%

Engineering

• Learning Approach 66%
• Xgboost 66%
• Objective Function 33%
• Non-Dominated Sorting Genetic Algorithm II 33%
• Computational Complexity 33%
• Mean Absolute Error 33%
• Computational Efficiency 33%
• Random Forest 33%
• Gradient Descent 33%
• Execution Time 33%
• Learning System 33%
• Nearest Neighbor 33%