Kernels for Large Margin Time-Series Classification

摘要

In this paper we propose a novel family of kernels for multivariate time-series classification problems. Each time-series is approximated by a linear combination of piecewise polynomial functions in a reproducing kernel Hilbert space by a novel kernel int