A Bayesian approach to model selection in hierarchical mixtures-of-experts architectures

Keyphrases

• Model Selection 100%
• Bayesian Approach 100%
• Hierarchical Mixture of Experts 100%
• Model Selection Problem 100%
• Statistical Model 50%
• Complex Structure 50%
• Markov Chain Monte Carlo 50%
• Generalized Linear Model 50%
• Finite Mixture Model 50%
• One-part 50%
• Divide-and-conquer 50%
• Monte Carlo Methodology 50%
• Architectural Structure 50%
• Bayesian Hypothesis Testing 50%
• Hypothesis Testing Procedure 50%
• Nuisance 50%
• Occam's Razor 50%

Computer Science

• Problem Selection 100%
• Bayesian Approach 100%
• Presented Approach 50%
• markov chain monte-carlo 50%
• Testing Procedure 50%
• Complex Structure 50%
• Good Performance 50%
• Statistical Model 50%