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bayesian_kmeans_bp
- 贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
Bshiyan_moshia
- 模式识别的图像的贝叶斯分类图图像的贝叶斯分类神经网络模式识别 -Bayesian pattern recognition, image classification maps the image of the Bayesian classifier neural network pattern recognition
Bayes-in-BP(code)
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，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，使其能够拟合某一附加有白噪声的正弦样本数据。-Use Bayes to train BP network
The-programming-collective-wisdom
- 《集体智慧编程》(programming collective intelligence building smart web 2.0 applications)以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数
algorithms
- 分类算法是统计学分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，且方法简单、分类准确率高、速度快。-The classification algorithm is the statistical classification, it is a knowledge of probability and statistics classification alg
bayes
- 基于贝叶斯的增量学习算法相关文档：包括朴素贝叶斯，网络贝叶斯等-Incremental learning algorithm based on Bayesian document: Naive Bayes, Bayesian and other network
Machine-Learning
- 机器学习的课件，包括神经网络、决策树、贝叶斯学习、高级搜索等内容-Machine learning courseware, including neural networks, decision trees, Bayesian learning, Advanced Search
rjMCMCsa
- 可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络-Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats t
routingwirelessnetworksBayesiangame
- 挺好的无线传感器网络关于贝叶斯判决进行路由的文章。-Fine articles on Bayesian routing of wireless sensor networks.
Bayesian-regularization
- 贝叶斯正则化算法提高 BP 网络，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 to improve BP network
FECG-Extraction
- 胎儿心电信号提取，用贝叶斯方法，和神经网络接近。很详细！-FECG Extraction Using Bayesian Inference and Neural Networks Approximation
topic11_bayesian_networks
- 神经网络的ppt讲稿,里面是对贝叶斯的著作神经网络的ppt讲解，是英文版的。-Neural network ppt lecture notes
matlab
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。-Bayesian regularization algorithm to improve the generalization ability of BP network.
classifier
- 多种分类器gui界面，包括支持向量机、贝叶斯分类器、感知机、神经网络等-Multiple classifier GUI interface, including support vector machines, Bayesian classifier, perceptron neural network
Automatica
- 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
BP_nerual_network
- 通过gdm、LM以及贝叶斯正则化，进行BP神将网络-By gdm, LM and Bayesian regularization, for God BP Network
BP_LM
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正 -Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Baye
beiyesizhengzehua
- 采用贝叶斯正则化算法提高 BP 网络的推广能力,采用两种训练方法-Bayesian regularization algorithm to improve the generalization ability of BP network, using two training methods
PR
- 各种模式识别算法源码，包括c均值聚类，层次聚类，fisher判决器，贝叶斯判决，神经网络等算法-Pattern recognition algorithm source code, including c-means clustering, hierarchical clustering, fisher judgment, a judgment Bayesian neural network algorithm
shenjingwangluo
- 可自由选择贝叶斯正则化算法或者是L-M 优化算法的神经网络matlab代码-The freedom to choose the Bayesian regularization algorithm or LM optimization algorithm neural network matlab code