TY - GEN
T1 - Learning with multiple Gaussian distance kernels for time series classification
AU - Liu, Lei
AU - Zuo, Wangmeng
AU - Zhang, David
AU - Zhang, Dongyu
PY - 2011
Y1 - 2011
N2 - Various distance measures have been proposed for time series classification, and several of them have been used to construct Gaussian distance kernels for support vector machine (SVM) - based classification. Considering that different Gaussian distance kernels may carry complementary information for classification, in this paper, we propose a multiple kernel learning (MKL) method to integrate multiple Gaussian distance kernels to further improve time series classification accuracy. We first adopt the classical Gaussian RBF (GRBF) kernel and the recently developed Gaussian elastic metric distance kernel (i.e. GERP kernel and GTWED kernel), and then use an efficient MKL, SimpleMKL, to learn the kernel classifier. Our experimental results on 12 UCR time series data sets show that the proposed method is superior to SVM with individual Gaussian distance kernel.
AB - Various distance measures have been proposed for time series classification, and several of them have been used to construct Gaussian distance kernels for support vector machine (SVM) - based classification. Considering that different Gaussian distance kernels may carry complementary information for classification, in this paper, we propose a multiple kernel learning (MKL) method to integrate multiple Gaussian distance kernels to further improve time series classification accuracy. We first adopt the classical Gaussian RBF (GRBF) kernel and the recently developed Gaussian elastic metric distance kernel (i.e. GERP kernel and GTWED kernel), and then use an efficient MKL, SimpleMKL, to learn the kernel classifier. Our experimental results on 12 UCR time series data sets show that the proposed method is superior to SVM with individual Gaussian distance kernel.
KW - kernel method
KW - multiple kernel learning
KW - support vector machine
KW - time series classification
UR - https://www.scopus.com/pages/publications/80053306906
U2 - 10.1109/ICACC.2011.6016490
DO - 10.1109/ICACC.2011.6016490
M3 - Conference contribution
AN - SCOPUS:80053306906
SN - 9781424488087
T3 - 2011 3rd International Conference on Advanced Computer Control, ICACC 2011
SP - 624
EP - 628
BT - 2011 3rd International Conference on Advanced Computer Control, ICACC 2011
T2 - 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011
Y2 - 18 January 2011 through 20 January 2011
ER -