Distributed minimum error entropy algorithms

Keyphrases

• Unlabeled Data 100%
• Minimum Error Entropy 100%
• Entropy Algorithm 100%
• Learning Rate 60%
• Computing Node 40%
• Fully-supervised 40%
• Supervised Data 40%
• Computational Memory 20%
• Computational Complexity 20%
• Decomposition Method 20%
• Memory Requirements 20%
• Communication Overhead 20%
• Regularity Assumption 20%
• Divide-and-conquer 20%
• Distributed Algorithms 20%
• Robustness to Noise 20%
• Learning Problems 20%
• Kernel Methods 20%
• Kernel Regression 20%
• U-statistics 20%
• Semi-supervised Learning 20%
• Labeled Data 20%
• Integral Operator 20%
• Regularized Least Squares 20%
• Privacy Protection 20%
• Reproducing Kernel 20%
• Pairwise Learning 20%
• Learning Loss 20%
• Saturation Phenomenon 20%
• Ination 20%
• Entropy Principle 20%
• Inter-node Communication 20%
• Decentralized Data 20%
• Non-convex Cost Function 20%
• Semi-supervised Data 20%
• Error Decomposition 20%
• Optimal Learning Rate 20%
• Information Theoretic Learning 20%
• Weak Regularity 20%
• Entropy Learning 20%
• Learning Scenarios 20%
• Minimax Optimal 20%

Computer Science

• Unlabeled Data 100%
• Entropy 100%
• Learning Rate 80%
• Privacy Protection 20%
• Data Source 20%
• Communication Overhead 20%
• Least Squares Methods 20%
• Distributed Algorithm 20%
• Learning Problem 20%
• Computational Complexity 20%
• Semisupervised Learning 20%
• Memory Requirement 20%
• Reproducing Kernel 20%