Keyphrases
Model Selection
100%
Model Order
100%
Parsimonious Models
100%
Naïve Bayes
75%
Gaussian Mixture Model
75%
Bayesian Information Criterion
50%
Model Complexity
50%
Mixture Components
50%
Selection Strategy
25%
Classification Accuracy
25%
Accurate Model
25%
Performance Measures
25%
Accuracy Improvement
25%
Mixture Model
25%
Criteria-based
25%
Log-likelihood Ratio
25%
Number of Parameters
25%
Synthetic Data
25%
Model Order Reduction
25%
Data Clustering
25%
Difficult Problem
25%
Model Bias
25%
Unsupervised Classification
25%
Individual Parameters
25%
Joint Model
25%
Statistical Classification
25%
Joint Learning
25%
Bayes Classifier
25%
Penalized Likelihood
25%
Generalized Expectation-maximization Algorithm
25%
Computer Science
Gaussian Mixture Model
100%
Gaussian Mixture
100%
Model Complexity
50%
Information Criterion
50%
Performance Measure
25%
Structure Model
25%
Selection Method
25%
Clustered Data
25%
Classification Accuracy
25%
Synthetic Data
25%
Covariance Matrix
25%
Bayes Classifier
25%
Statistical Classification
25%
Sequential Model
25%
Feature Dimension
25%
Generalized Expectation
25%
Mathematics
Gaussian Mixture Model
100%
Naïve Bayes
75%
Individual Parameter
25%
Selection Structure
25%