Incremental reformulated automatic relevance determination

Keyphrases

• Automatic Relevance Determination 100%
• Fast Marginal Likelihood Maximization 100%
• Sparse Bayesian Learning 60%
• Maximization Algorithm 40%
• Incremental Approach 40%
• Single Component 20%
• Convex Optimization Problem 20%
• Algorithm Convergence 20%
• Marginal Likelihood 20%
• Upper Bounding 20%
• Maximizers 20%
• Signal Sparsity 20%
• Determination Approach 20%
• Constrained Convex Optimization 20%
• Pruning Conditions 20%
• Iterative Reweighting 20%
• Bounding Functions 20%

Computer Science

• Marginal Likelihood 100%
• Bayesian Learning 50%
• Incremental Approach 33%
• Optimization Problem 16%
• Sparsity 16%
• Objective Function 16%
• Convex Optimization 16%
• Bounding Function 16%