Least squares approach to locally weighted naive bayes method
This study proposes a new approach which calculates the weights of Locally Weighted
Naive Bayes (LWNB) developed on Naive Bayes (NB) which is known with its simple …
Naive Bayes (LWNB) developed on Naive Bayes (NB) which is known with its simple …
A Weighted Naive Bayes for Image Classification Based on Adaptive Genetic Algorithm
Z Wang, Q Yan, Z Wang, X Hei - The International Conference on Natural …, 2022 - Springer
Naive Bayes (NB) is a simple and widely used classification model, but due to the
conditional independence assumption, the accuracy of NB is not very competitive in the field …
conditional independence assumption, the accuracy of NB is not very competitive in the field …
[PDF][PDF] 面向土地利用分类的多源遥感数据混合贝叶斯网络分类器
李凤， 高昭良 - 国土资源遥感, 2011 - cgsjournals.com
传统的离散型贝叶斯网络分类器是将所有变量视为离散变量, 或对连续变量做离散化处理.
可是离散化不可避免地存在信息损失, 且在多源遥感数据的处理和分析中, 连续变量的离散化会 …
可是离散化不可避免地存在信息损失, 且在多源遥感数据的处理和分析中, 连续变量的离散化会 …
Probabilistic Multimodal Classification with dynamic feature selection
A novel Probabilistic, Multimodal Classification with Dynamic Input Selection (PMC-D)
framework is proposed in this paper. In this approach, Probability Distribution Functions …
framework is proposed in this paper. In this approach, Probability Distribution Functions …