|Title:||SVM Kernels for Time Series Analysis|
|Abstract:||Time series analysis is an important and complex problem in machine learning and statistics. Real-world applications can consist of very large and high dimensional time series data. Support Vector Machines (SVMs) are a popular tool for the analysis of such data sets. This paper presents some SVM kernel functions and disusses their relative merits, depending on the type of data that is used.|
|Subject Headings:||support vector machines|
|Appears in Collections:||Sonderforschungsbereich (SFB) 475|
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