A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data

Computer Science

• Behavior Data 100%
• Generative Model 100%
• Machine Learning Algorithm 66%
• Machine Learning Technique 33%
• Data Structure 33%
• Continuous Data 33%
• Simulation Test 33%
• Optimization Problem 33%
• Machine Learning Approach 33%
• Boltzmann Machine 33%
• Interpretability 33%
• Discriminative Method 33%
• Model Analysis 33%
• Data Distribution 33%
• Random Variable 33%
• Conditional Probability 33%
• Demand Analysis 33%
• Joint Distribution 33%

Mathematics

• Bayesian Inference 100%
• Random Variable 50%
• Joint Distribution 50%
• Conditional Probability 50%
• Data Distribution 50%
• Without Loss of Generality 50%
• Restricted Boltzmann Machine 50%
• Statistical Analysis 50%
• Show Parameter 50%
• Latent Construct 50%
• Data Structure 50%
• Continuous Data 50%
• Interpretability 50%
• Image Recognition 50%