Probabilistic Kernel Support Vector Machines

no code implementations • 14 Apr 2019 • Yongxin Chen, Tryphon T. Georgiou, Allen R. Tannenbaum

We propose a probabilistic enhancement of standard kernel Support Vector Machines for binary classification, in order to address the case when, along with given data sets, a description of uncertainty (e. g., error bounds) may be available on each datum.

Binary Classification