采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法， 即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti

应用于移动传感器网络的高效贝叶斯空间预测方案-Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

基于spark做的文本分类，有分词、提取TFIFDF关键词特征，贝叶斯分类次，word2vector-Make text classification based spark, partakers word feature extraction TFIFDF keyword, Bayesian classification times, word2vector