Mikhail Kapralov, Amir Zandieh
Kernel methods are fundamental tools in machine learning that allow detection of non-linear dependencies between data without explicitly constructing feature vectors in high dimensional spaces. A major disadvantage of kernel methods is their poor scalabili ...
ASSOC COMPUTING MACHINERY2020
