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通过尝试给出软直方图估计模型中样本不完备度和模型粗糙度匹配关系的公式化定义,发现了一个反精确规则.该反精确规则给出的启示是,如果信息是不完备的,则一个较粗糙模型的识别效果会更好;反之,一个较精确模型会比较好.
反精确现象与形式化研究
【摘 要】
：
通过尝试给出软直方图估计模型中样本不完备度和模型粗糙度匹配关系的公式化定义,发现了一个反精确规则.该反精确规则给出的启示是,如果信息是不完备的,则一个较粗糙模型的识
【机 构】
：
北京师范大学资源学院
【出 处】
：
系统工程理论与实践
【发表日期】
：
2004年期
【基金项目】
：
国家自然科学基金;
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