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Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression A Distributed Algorithm Minimax Optimal Rates
2013/6/14
We establish optimal convergence rates for a decomposition-based scalable approach to kernel ridge regression. The method is simple to describe: it randomly partitions a dataset of size N into m subse...
Minimax Optimal Rates of Convergence for Multicategory Classifications
rate of convergence error probability modulus of continuity multicategory classification
2007/12/10
In the problem of
classification (or pattern recognition), given a set of $n$
samples, we attempt to construct a classifier $g_n$ with a small
misclassification error. It is important to study the ...