搜索资源列表
bayes_classifier
- 贝叶斯分类器，模式识别，贝叶斯规则用于C个类，高斯函数建模-Bayesian classifier, pattern recognition, Bayesian rules for C-class, the Gaussian function modeling
Video_Image_Segmentation_Based
- 为了对光线变化的图像进行顺利侵害，提出了一 种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点 处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
ijcai99-LearningBayesianNetworks
- Learning Bayesian NetworksWith Hidden Variables for User Modeling
separation
- 采用子带GMM建模和贝叶斯理论来实现单信道混合语音的分离。主要分训练和分离两个阶段-Using sub-band GMM modeling and Bayesian theory to achieve the single-channel mixed audio separation. Mainly consists of two stages： training and separation
fbm.2004.11.10
- 《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。 -This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
BayVAR
- Bayesian Vector Autoregression Modeling: BayVAR
sf1847
- 数据挖掘建模工具，轻易实现BP神经网络、RBF神经网络、灰色系统、决策树、决策表、贝叶斯、懒惰算法、支持向量机、K均值聚类、Apriori关联规则、HotSpot关联规则、回归分析、指数平滑、季节移动平均及组合等算法建模。-Data mining modeling tools, easy to achieve BP neural network, RBF neural network, gray system, decision tree, decision table, Bayesian, l
ProgrammingPCollectivePIntelligence
- 本书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据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过
Adaptive-Online-Learning
- 基于EKF的神经网络自适应在线学习算法，包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and
fbmtools
- 柔性贝叶斯模型和马尔科夫链抽样的Matlab工具箱，很是实用-FBM matlab toolbox is a "Software for Flexible Bayesian Modeling and Markov Chain Sampling" written by Radford Neal.
lungbayesdemo
- Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference" This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm. Introduction: Bayesian networks
Bayesian-Modeling-of-Dynamic-Scenes
- 一种针对动态场景环境下的目标检测的贝叶斯模型-Bayesian Modeling of Dynamic Scenes for Object Detection
lda-c
- LDA是一种文档主题生成模型，也称为一个三层贝叶斯概率模型，包含词、主题和文档三层结构。文档到主题服从Dirichlet分布，主题到词服从多项式分布。 LDA是一种非监督机器学习技术，可以用来识别大规模文档集（document collection）或语料库（corpus）中潜藏的主题信息。它采用了词袋（bag of words）的方法，这种方法将每一篇文档视为一个词频向量，从而将文本信息转化为了易于建模的数字信息。但是词袋方法没有考虑词与词之间的顺序，这简化了问题的复杂性，同时也为
approach
- A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding to di€ erent c
PROBABILISTIC-MODELING-BAYESIAN-NETWORKS
- PROBABILISTIC MODELING and BAYESIAN NETWORKS FOR AUTOMATIC SPEECH RECOGNITION
Bayesian-Modeling
- 基于贝叶斯的动态场景中的物体检测 背景去除 前景提取-Bayesian Modeling of Dynamic Scenes for Object Detection
BgModeling_2005_pami
- code of Bayesian Modeling of Dynamic Scenes for Objects Detection.pdf
WinBUGS14
- 只须设定模型，设置参数及初值就可以运行模型(It can be runned only after specifing the model, the parameters and their initial values)
Gaussian_processes
- This is a very useful Gaussian processes in Bayesian modeling manual for matlab toolbox. The corresponding souce codes can be download from the GPstuff site.
BYS14
- 贝叶斯推理Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential mode(Bayesian modeling and inference for generalized linear models, accelerated life failure models,