内包カーネルとその応用

抄録

We present the intentional kernel as a new class of kernel functions for structured data. The convolution kernel, that is a typical class of kernel functions is based on sub-structures. On the other hand, the intentional kernel is based on derivations. We also show applications oft he intentional kernel, such as boolean functions, first-order terms, RNA sequences. We show properties of the intentional kernel, and discuss the difference between intentional kernel and convolution kernel.