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The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient stat
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The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient stat
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统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含:
1,Analysis of linear discriminant function
2,Feature extraction: Linear Discriminant Analysis
3,Probability distribution estimation and clustering
4,Support Vector and other Kernel Machines,
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EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计,Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
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Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
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《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
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用Matlab写的高斯混合模型的贝叶斯EM估计,-Variational Bayesian EM for Gaussian mixture models
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This code implements the search algorithms described in [1]. The code only contains the Dirichlet/Multinomial case, but the Gaussian case can be hacked in in about 5 minutes.
[1] Fast search for Dirichlet process mixture models Conference on AI
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金融数据分析的一个新的程序码 可应用于数据分析 价格以及期货指数估计 还可用于 几何布朗运动的模拟-"An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, yo
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基于高斯混合模型,经由一种高效率的EM-MAP算法,解决图像超分辨率重建问题-A general framework for solving image inverse problems is introduced in this paper. The approach is
based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
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基于隐马尔可夫模型和高斯混合模型结合的声音转换方法.pdf-Combination of hidden Markov models and Gaussian mixture model-based voice conversion method. Pdf
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解决了带有time index高斯混合模型的状态估计问题-An estimation technique for Time Indexed Gaussian Mixture Models
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DP Mixture Models实例程序,包含variational和Monte Carlo。-This is a matlab library for Gaussian Dirichlet Process Mixture Models (DPMMs).
It includes both variational and Monte Carlo inference.
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Fast search for Dirichlet process mixture models -This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of
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Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generaliz
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Robert Gordon University的一个研究人员写的k-means聚类算法工具箱,内容完整可运行。-Includes k-means, hierarchical (single-, complete- and mean-linkage), EM for Gaussian Mixture Models, fuzzy c-means, and a demo.
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经典的em算法即期望最大化算法,可用于高斯混合GMM模型和聚类算法,-Classic em algorithm that expectation maximization algorithm can be used for Gaussian mixture models and GMM clustering algorithm,
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隐马尔科夫模型工具箱,readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
dhmm = HMM with discrete output
mhmm = HMM with mixture of G
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Suite of MATLAB based RFS filtering/tracking codes. The file contains single target filters thus Single target filter gms -Gaussian mixture solution for linear Gaussian models, ekf - EKF approximation for non-linear models
ukf -UKF approximatio
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一个EM算法 这是通过高斯混合模型进行聚类的EM算法的实现,使用图形在线表示。(EM algorithm
This is an implementation of the EM algorithm for Clustering via Gaussian mixture models, using graphical on-line representation.)
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