Bayesian classifier is excellent at simple network structure and extending easily. It is effective for classifying maize disease and it can use for reference for the image recognition re...
贝叶斯分类器具有网络结构简单、易于扩展等特点，对玉米叶部病害的分类识别效果较好，也为其它作物病害图像识别的研究提供了借鉴。
Absrtact: Naive Bayesian classifier is a simple and effective classifier, but its conditional independence assumption makes it unable to express the dependence among features.
摘要：朴素贝叶斯分类器是一种简单而高效的分类器，但它的条件独立性假设使其无法表示属性问的依赖关系。
Absrtact: Naive Bayesian classifier is a simple and effective classifier, but its conditional independence assumption makes it unable to express the dependence among features.
摘要：朴素贝叶斯分类器是一种简单而高效的分类器，但它的条件独立性假设使其无法表示属性问的依赖关系。
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