Integrated kernels and their properties

Integrated kernels and their properties
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DOI:
10.1016/j.patcog.2007.02.014
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发表时间:
2007-11
期刊:
Pattern Recognit.
影响因子:
--
通讯作者:
A. Tanaka;H. Imai;Mineichi Kudo;M. Miyakoshi
A. Tanaka;H. Imai;Mineichi Kudo;M. Miyakoshi
中科院分区:
其他
文献类型:
--
作者:
A. Tanaka;H. Imai;Mineichi Kudo;M. Miyakoshi

文献摘要

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核机器被广泛认为是信息科学各个领域的强大工具。通过使用核,未知目标由属于对应于该核的再生核希尔伯特空间(RKHS)的函数来表示。通过扩大RKHS以使其包括广泛的功能类别来扩大应用范围。在这项研究中,我们演示了一种通过使用参数化核的参数积分来实现这一点的方法。一些数值实验表明,寻找好的参数这个悬而未决的问题可以忽略不计。
Kernel machines are widely considered to be powerful tools in various fields of information science. By using a kernel, an unknown target is represented by a function that belongs to a reproducing kernel Hilbert space (RKHS) corresponding to the kernel. The application area is widened by enlarging the RKHS such that it includes a wide class of functions. In this study, we demonstrate a method to perform this by using parameter integration of a parameterized kernel. Some numerical experiments show that the unresolved problem of finding a good parameter can be neglected.