Determining the number of components in mixtures of linear models

Mathematics

• Number 100%
• Measures 100%
• Linear Models 100%
• Linear Regression Model 60%
• Log Likelihood 40%
• EM Algorithm 40%
• Approximation 40%
• Simulation Study 20%
• Variance Component 20%
• Convergence Rate 20%
• Observed Data 20%
• Starting Value 20%
• Complete Data 20%
• Algorithm 20%

Engineering

• Measures 100%
• Model 100%
• EM Algorithm 40%
• Performance 40%
• Rate of Convergence 20%
• Observed Data 20%
• Component Model 20%
• Complete Data 20%
• Starting Value 20%
• Mixture Component 20%
• Optimization 20%
• Algorithm 20%

Computer Science

• Model 100%
• Algorithms 50%
• Approximation (Algorithm) 50%
• Differential Evolution 25%
• Component Model 25%
• Simulation Study 25%
• Convergence Rate 25%
• Variance Component 25%
• Minimum Description Length 25%
• Optimization Algorithm 25%
• Procedure 25%