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  • Boosted_Bayesian_Network_Classifier.zip 基于文献《Boosted Bayesian Network Classifiers》的实现代码。
  • SequentialMonteCarlowithoutLikelihoods.rar Sequential Monte Carlo without Likelihoods 粒子滤波不用似然函数的情况下 本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. ...
  • ldpcdecoder.rar ldpc decode c程序 Iterative probabilistic decoding of linear block codes.Based on Pearl s Belief Propagation in Bayesian Networks.This version utilizes object to define graph nodes and LOG-LIKELIHOOD RATIOS. Much improved in terms of speed compared to ...
  • Bayesian_Classification_with_Gaussian_Processesl.p Bayesian Classification with Gaussian Processes.pdf文章的实现代码
  • BLS-GSM_Denoising.rar 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码,应用丰富,与商用图像处理软件媲美,其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain
  • BayesianArtificialIntelligence.rar 另一本介绍贝叶斯网络的经典教材,可以与Learning Bayesian Networks配合使用,相得益彰。
  • ParticleFiltering_paper.rar 粒子滤波的基本程序及粒子滤波原始论文Novel approach to nonlinear_non-Gaussian Bayesian state estimation
  • optical_flow.rar ... Trade-offs in Optical Flow Algorithms 4、all about direct methods 5、An Introduction to OpenCV and Optical Flow 6、Bayesian Real-time Optical Flow 7、Color Optical Flow 8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network 9 ...
  • bblocks-1.1.1.zip The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning
  • SEM.zip structure EM算法 bayesian network structure learning