搜索资源列表
FullBNT-1.0.2
- 贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型,以及实现统计推理-Bayesian network Matlab achieve. Bayesian networks can create, model training, and the realization of statistical reasoning
bp.example
- 采用动量梯度下降算法训练BP网络,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-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t
K2
- 贝叶斯网络学习算法——k2算法,包括对贝叶斯网络结构的学习,最后生成网络-Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network
Introduction_of_dbn
- 动态贝叶斯网络的介绍,包括现阶段研究状况与应用-Introduction to dynamic Bayesian networks, including the present status of research and application of
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器(判别分析,贝叶斯,神经网络,支持向量机,决策树,基于规则的分类器,升压、装袋、堆放、随机森林和其他合奏,广义线性模型,线性,偏最小二乘法和主成分回归,logistic回归、多项式回归、多元自适应回归样条等方法),实现在WEKA,R(有或没有插入包),C和Matlab,包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class