...类条件密度估计，线性判别方法，贝叶斯分类器，核函数方法，粗糙集 [gap=563]gnition，Statistical pattern recognition，Neural networks，Support vector machines，Class-conditional-density estimation，Iinear discriminant methods，Bayes classifier，Kernel function based methods，Roug..
基于16个网页-相关网页
A novel PNN model with training algorithms is proposed for class conditional density estimation.
提出了一种新的类条件密度函数估计的PNN模型及其算法。
A discrete method for stochastic variable (features) space of class-conditional-probability density and estimation method for class-conditional -probability distribution is proposed.
本文提出了类条件概率密度随机变量（特征）空间离散化及类条件概率分布估计方法。
应用推荐