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KERNEL FUNCTION PROCESSOR, KERNEL FUNCTION PROCESSING METHOD AND KERNEL FUNCTION PROCESSING PROGRAM

机译:核函数处理器,核函数处理方法和核函数处理程序

摘要

PPROBLEM TO BE SOLVED: To allow kernel functions to have the sufficient power of expression to an object problem by adaptively updating the kernel function even when the states or circumstances of the objects of kernel functions are different. PSOLUTION: In a kernel function updating part 1, an update processing part 11 calculates a parameter based on teacher part 3, and decides the kernel functions based on the parameter , and when an evaluation reference value is a predetermined threshold or less, the kernel function updating part 1 updates the kernel functions by adding the kernel functions whose parameter has been updated. At that time, an evaluation reference value calculating part 12 calculates an evaluation reference value by calculating a gram matrix and its Moore Penn Lowe's general reversing based on the teacher data 3 and the kernel functions. In a kernel function processing part 2, a recognition result calculating means 21 calculates a recognition result based on an input vector 4 of an unknown sample, the teacher data 3, the updated kernel functions and the Moore Penn Lowe's general reversing, and a class label calculating means 22 calculates a class label based on the recognition result. PCOPYRIGHT: (C)2006,JPO&NCIPI
机译:

要解决的问题:即使内核函数对象的状态或环境不同,也可以通过自适应地更新内核函数来使内核函数具有足够的表达能力来解决对象问题。

解决方案:在内核函数更新部分1中,更新处理部分11根据教师部分3计算参数,并基于该参数确定内核函数,并且当评估参考值等于或小于预定阈值时,内核函数更新部分1通过添加其参数已被更新的内核函数来更新内核函数。那时,评价基准值计算部12基于教师数据3和核函数,通过计算克矩阵及其摩尔·潘·洛(Moore Penn Lowe)的一般逆运算来计算评价基准值。在核函数处理部2中,识别结果计算装置21基于未知样本的输入向量4,教师数据3,更新后的核函数和Moore Penn Lowe的一般倒数以及类别标签来计算识别结果。计算装置22基于识别结果计算类别标签。

版权:(C)2006,JPO&NCIPI

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