This kernel includes a new feature to measure and record the timings of init calls.
此内核包含了这样一个新特性，即可以测量和记录init调用的时间。
According to the characteristic of SVDD, the proposed algorithm utilizes the non-Gaussian to measure how kernel samples approximate to a spherical area, and then optimize the kernel parameter.
该算法根据支持向量域数据描述本身的特点，利用非高斯性来测量核空间样本接近球形区域分布的程度，并根据此测量结果来优化核参数。
Compared to the 0-1 polynomial kernel, our newly designed string kernel based on edit distance can effectively measure the similarity between sequences.
相比先前基于0 - 1编码的多项式核，采用新的字符串核能较好地度量序列之间的相似度。
Compared to the 0-1 polynomial kernel, our newly designed string kernel based on edit distance can effectively measure the similarity between sequences.
相比先前基于0 - 1编码的多项式核，采用新的字符串核能较好地度量序列之间的相似度。
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