This paper presents the underlyingtheory, an associated algorithm, example results, and provide comparisons to other compressive-sensing inversion algorithms in the literature.
大数据下的机器学习算法综述，介绍利用大数据做机器学习的常用算法ordan
Little bootstraps
Boot
frap
ordan
4
4.1
4.2
Kol-
Tucker
Memory -Efficient Tucker Decomposition MET
MET
densed Nearest Neighbor CNN
R
duced nearest neighbor RnN
Ed
MET
ted Nearest Neighbor ENN
Wahba
h
10
Regularize
