Kernel Classifiers for Time Series
28 Oct 2011 16:51
Yet Another Placeholder.
- To read:
- Marco Cuturi, Arnaud Doucet, "Autoregressive Kernels For Time Series", arxiv:1101.0673 [In which two time series are similar if they are fit by similar autoregressive models]
- Marco Cuturi, Jean-Philippe Vert, Oystein Birkenes, and Tomoko Matsui, "A kernel for time series based on global alignments", cs.CV/0610033
- Scott Lenser and Manuela Veloso, "Non-Parametric Time Series Classification" [PDF preprint]
- T. Warren Liao, "Clustering of time series data---a survey", Pattern Recognition 38 (2005): 1857--1874
- Zhengdong Lu, Todd K. Leen and Jeffrey Kaye, "Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals", Neural Computation 23 (2011): 2390--2420
- Nishant A. Mehta and Alexander G. Gray, "Generative and Latent Mean Map Kernels", arxiv:1005.0188
- Vitaly Schetinin and Joachim Schult, "Learning Polynomial Networks for Classification of Clinical Electroencephalograms", cs.AI/0504041 [Not a kernel method, at least not to judge by the abstract, but very close to the application domain we have in mind]
- Ansgar Steland, "Optimal sequential kernel detection for dependent processes", Journal of Statistical Planning and Inference 132 (2005): 131--147
