The adaptive projected subgradient method constrained by families of quasi-nonexpansive mappings and its application to online learning

Keyphrases

• Online Learning 100%
• Adaptive Projected Subgradient Method 100%
• Quasi-nonexpansive Mapping 100%
• Machine Learning 33%
• Signal Processing 33%
• Inverse Problem 33%
• Signal Recovery 33%
• Convex Function 33%
• Plethora 33%
• Real Hilbert Space 33%
• Closed Convex Sets 33%
• Algorithmic Schemes 33%
• Time-adaptive 33%
• Continuous Function 33%
• Learning Task 33%
• Convergence Property 33%
• Wide Applicability 33%
• Nonnegative Functions 33%
• Sparse System 33%
• Adaptive Inverse 33%
• Signal Machine 33%

Mathematics

• Quasi-Nonexpansive Mapping 100%
• Priori Knowledge 100%
• Subgradient 100%
• Asymptotics 66%
• Priori Information 66%
• Convex Function 33%
• Closed Convex Set 33%
• Real Hilbert Space 33%
• Continuous Function 33%
• Learning Task 33%
• Convergence Property 33%
• Nonnegative Function 33%
• Signal Processing 33%

Computer Science

• Priori Knowledge 100%
• Electronic Learning 100%
• Priori Information 66%
• Inverse Problem 33%
• Varying Nature 33%
• Hilbert Space 33%
• Continuous Function 33%
• Convex Function 33%
• Convergence Property 33%
• Nonnegative Function 33%
• Machine Learning 33%
• Learning System 33%