Leonid Karlinsky, Joseph Shtok, et al.
CVPR 2019
Expanding application demand for data mining of massive data warehouses has fueled advances in automated predictive methods. We examine a few successful application areas and their technical challenges. We review the key theoretical developments in PAC and statistical learning theory that have lead to the development of support vector machines and to the use of multiple models for increased predictive accuracy.
Leonid Karlinsky, Joseph Shtok, et al.
CVPR 2019
Hannah Kim, Celia Cintas, et al.
IJCAI 2023
Paula Harder, Venkatesh Ramesh, et al.
EGU 2023
Amarachi Blessing Mbakwe, Joy Wu, et al.
NeurIPS 2023