The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Text classification using string kernels
The Journal of Machine Learning Research
Kernel Functions Based on Derivation
New Frontiers in Applied Data Mining
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This paper presents a kernel function class KRNA which is based on the concept of the intentional kernel (Doi et al., 2006) as opposed to that of the convolution kernel (Haussler, 1999). A kernel function in KRNA computes the similarity between two RNA sequences from the viewpoint of secondary structures. As an instance of KRNA, we give the definition and the algorithm of KRNAN which takes a pair of RNA sequences as its inputs, and facilitates Support Vector Machine (SVM) classifying RNA sequences in a higher dimension space. Our experimental results show a high performance of KRNAN, compared with the string kernel which is a convolution kernel.