搜索资源列表
Bayes
- 在matlab开发环境下 对贝叶斯网络结构进行学习 推理 计算分类，并且对它进行性能分析和比较-Matlab development environment for learning Bayesian network structure inference to calculate the classification, and its performance analysis and comparison
K2
- 在matlab开发环境下 ，利用贝叶斯网络的原理 采用k2算法进行推理 分类预测-Matlab development environment, the principle of the use of Bayesian networks k2 algorithm Reasoning Classification and Prediction
Wireless-CS
- 简单的压缩感知用于无线传感器的例子，还有贝叶斯压缩感知-Simple compress perception used for wireless sensor examples, and the bayesian compression perception
bayesgood
- 数据挖掘中分类算法贝叶斯算法，用于二分类问题-Data mining classification algorithm of bayesian algorithm is used for binary classification problem
bayes
- 这是最小错误概率贝叶斯程序 测试效果较好 大家-This is the minimum error probability of Bayesian procedures to test the effect of good everybody have a look
SB2_Release_200
- SparseBayesDemo,用于学习稀疏贝叶斯算法的工具，由RVM算法开发者Tipping开发-"SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models.
Bayes
- 一个matlab写的动态链接库，实现贝叶斯运算，源码里面也有，C#可以直接调用其中的DLL文件，测试有效。-Write a matlab dynamic link library that implements the Bayesian computing source inside the C# can directly call the DLL files, test Effect.
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
Cappe-2007-An-Overview-of-Exist
- 这是一篇很好的有关粒子滤波的综述性论文，具有很高的参考价值。-It is now over a decade since the pioneering contribution of Gordon et al. (1993), which is commonly regarded as the first instance of modern sequential Monte Carlo (SMC) approaches. Initially focussed on applicat
svmb.tar
- The Bayesian Support Vector Machine
SparseBayes
- 实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱-"SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded imple
fenlei
- 利用贝叶斯中的最大最小距离准则对数据进行分类-Bayesian maximum and minimum distance criterion to classify the data
Artificial-Intelligence
- 人工智能课件 中国科技大学 遗传算法 搜索算法 推理 贝叶斯网络等-Artificial intelligence courseware to science and technology university of China genetic algorithm search algorithm reasoning bayesian network, etc
leaves-bass-algorithm
- 这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。-This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian
yi
- 图像的贝叶斯分类MATLAB程序，最优阈值迭代法-Image of the Bayesian classifier MATLAB program，Iterative method of optimal threshold
bayesleastrisk
- 基于最小错误概率和最小风险的贝叶斯分类器-Based on the minimum probability of error and minimum- risk Bayesian classifier
mcmc
- 该程序实现了马尔科夫蒙特卡洛模拟方法，是贝叶斯估计不可缺少的程序-this algorithm realise Markov-monte carol algorithm and is indispensible for Bayesian estimation.
ar_g
- PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E, E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T), V = diag(v1,v2,...
zuoye
- 模式识别作业，贝叶斯分类，欧式距离马氏距离-Pattern recognition operation, the Bayesian classifier, the Euclidean distance, Mahalanobis distance
matlab-econometric-toolbox
- “Applied Econometrics using MATLAB”配套的计量经济Matlab包-MATLAB code for: 1. least-squares, simultaneous systems (2SLS,3SLS, SUR) 2. limited dependent variable (logit, probit, tobit) and Bayesian variants 3. time-series (VAR, BVAR, ECM) estim