A comparison of new and old algorithms for a mixture estimation problem

Keyphrases

• Gradient Projection 100%
• Estimation Problem 100%
• Relative Entropy 100%
• Mixture Estimation 100%
• Iterative Algorithm 50%
• Squared Distance 50%
• Supervised Learning 50%
• Polynomial Bounds 50%
• EM Algorithm 50%
• Exponentiated Gradient 50%
• Simple Derivation 50%
• Penalty Term 50%
• Second-order Taylor Expansion 50%
• Gradient Update 50%
• Global Rate of Convergence 50%

Mathematics

• Relative Entropy 100%
• Polynomial 50%
• Worst Case 50%
• Order Taylor Expansion 50%
• Square Distance 50%
• EM Algorithm 50%