Learning Automata and Their Applications to Intelligent Systems

Keyphrases

• Intelligent Systems 100%
• Learning Automata 100%
• Algorithm Design 16%
• Noisy Optimization Problems 16%
• Field Learning 16%
• Graduate Level 8%
• Highly Qualified 8%
• Mathematical Analysis 8%
• Convergence Rate 8%
• Engineering Management 8%
• Machine Learning 8%
• Learning Algorithm 8%
• New Learning 8%
• Algorithm Application 8%
• Allocation Method 8%
• Application-oriented 8%
• Low Computational Complexity 8%
• Reinforcement Learning 8%
• Ordinal Optimization 8%
• Fast Convergence 8%
• Network Optimization 8%
• Knapsack 8%
• Clustering Games 8%
• Engineering Operations 8%
• Learning Management 8%
• State Probability 8%
• Spatiotemporal Phenomena 8%
• Stochastic Optimization 8%
• Event Pattern 8%
• Learning-based Optimization 8%
• Classification via Clustering 8%
• Machine Learning Engineering 8%
• Essential Resources 8%
• Network Scheduling 8%
• Algorithm Improvement 8%
• Machine Management 8%
• Improvement Direction 8%
• Update Speed 8%
• Classification Game 8%
• Significant Experiences 8%
• Soft Computing 8%

Computer Science

• Automaton 100%
• Optimization Problem 16%
• Algorithm Design 16%
• Machine Learning 16%
• Computational Complexity 8%
• Research Direction 8%
• Stochastic Optimization 8%
• Learning Algorithm 8%
• Network Optimization 8%
• Reinforcement Learning 8%
• Allocation Method 8%
• Fast Convergence 8%
• State Probability 8%
• Event Pattern 8%
• Knapsack 8%
• Convergence Speed 8%
• Essential Resource 8%
• Soft Computing 8%