| 摘要 |
<P>PROBLEM TO BE SOLVED: To construct a highly precise classification model even when teacher data whose quality is bad are included. Ž<P>SOLUTION: Coordinates corresponding to expert data in which the reliability of labeling satisfies a prescribed reference and non-expert data in which the reliability of labeling is not clear are acquired, and a distance between the non-expert data and the expert data is calculated, and a neighboring distance is defined by applying it to a prescribed rule. Then, the expert data within the range of the neighboring distance are retrieved from the selected non-expert data, and the same label probability is calculated, and applied to reliability function based on such probability that the applied label is matched with the label of the expert data within the range of the neighboring distance, and the reliability of the non-expert data is determined and added. Then, a classification model for labeling desired data is learnt based on the expert data and the non-expert data to which the reliability has been added. Ž<P>COPYRIGHT: (C)2010,JPO&INPIT Ž
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