Distributed learning with regularized least squares

Keyphrases

• Output Function 100%
• Learning Rate 100%
• Least-squares Regularization 100%
• Reproducing Kernel Hilbert Space 100%
• Regularized Least Squares 100%
• Regularization Scheme 100%
• Distributed Learning 100%
• Operator Approach 33%
• Single Machine 33%
• Error Bound 33%
• Divide-and-conquer 33%
• Disjoint 33%
• Eigenfunctions 33%
• L2 Metric 33%
• Error-driven Learning 33%
• Integral Operator 33%
• General Kernels 33%
• Classical Least Squares 33%
• Global Predictors 33%
• Global Estimator 33%
• Operator Decomposition 33%
• Global Output 33%
• Order Decomposition 33%
• Individual Output 33%

Computer Science

• Least Squares Methods 100%
• Distributed Learning 100%
• Regularization 75%
• Hilbert Space 75%
• Learning Rate 75%
• Reproducing Kernel 75%
• Output Function 75%
• Processing Algorithm 25%
• Single Machine 25%
• Good Approximation 25%

Mathematics

• Least Square 100%
• Regularization 75%
• Hilbert Space 75%
• Output Function 75%
• Error Bound 25%
• Operator Approach 25%
• Divide and Conquer 25%
• Integral Operator 25%
• Difference Operator 25%
• Single Machine 25%
• Good Approximation 25%
• Eigenfunction 25%