Search - belief matlab

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[Bio-Recognize] icaML DL : 0: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
Update : 2025-02-17 Size : 7kb Publisher : 陈互
[Post-TeleCom sofeware systems] mathworks DL : 0: ofd系统各种信道估计的比较以及误信率的比较-OFD system, various channel estimation and comparison of the rate compared to the mistaken belief that
Update : 2025-02-17 Size : 4kb Publisher : 徐涛
[Algorithm] c_inference_ver2.2 DL : 0: The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
Update : 2025-02-17 Size : 82kb Publisher : bevin
[Special Effects] StereoDisparity DL : 0: The algorithm is based on “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner. -The algorithm is based on
Update : 2025-02-17 Size : 458kb Publisher : 徐亮
[Graph program] BP DL : 0: 基于可信传播的立体匹配算法(max-product belief propagation,accelerated updating)-Based on the credibility of the spread of stereo matching algorithm (max-product belief propagation, accelerated updating)
Update : 2025-02-17 Size : 2kb Publisher : 王拨
[matlab] gbp DL : 0: Gaussian belief propagation code in matlab.
Update : 2025-02-17 Size : 7kb Publisher : 王小剛
[Software Engineering] mcl DL : 0: 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic localization algorithms known as Monte Carlo Localization [MCL]. MCL algorithms represent a robot’s belief by a set of weighted hypotheses [samples], which approximate the posterior under a common Bayesian formulation of the localization problem. Building on the basic MCL algorithm, this article develops a more robust algorithm called Mixture- MCL, which integrates two complimentary ways of generating samples in the estimation. To apply this algorithm to mobile robots equipped with range finders, a kernel density tree is learned that permits fast sampling. Systematic empirical results illustrate the robustness and computational efficiency of the approach.  2001 Published by Elsevier Science B.V. Keywords: Mobile robots Localization Position estimation Particle filters Kernel density trees
Update : 2025-02-17 Size : 1.36mb Publisher : xuyuhua
[matlab] GeneralType2FLSs DL : 0: matlab mfile fo fuzzy type-2
Update : 2025-02-17 Size : 16kb Publisher : mehdi
[Algorithm] BPalgorithm DL : 0: belief propagation algrithm
Update : 2025-02-17 Size : 1kb Publisher : leo
[matlab] BP DL : 0: Belief Propagation (BP) Implementations gabp.m, run_gabp.m => Gaussian BP - parallel version asynch_GBP.m => Gaussian BP - serial version sparse_gabp.m, run_sparse_gabp.m => Gaussian BP - sparse version, optimized, tested on sparse matrices gabpms.ms, run_gabpms.m => Quadratic Min-Sum algorithm - Moallemi and Van-Roy
Update : 2025-02-17 Size : 219kb Publisher : savsee
[matlab] NBP DL : 0: Nonparametric belief propagation implementation
Update : 2025-02-17 Size : 121kb Publisher : savsee
[Documents] bp DL : 0: implementation of belief propagation algorithm in matlab
Update : 2025-02-17 Size : 216kb Publisher : pranay
[3G develop] cooperative_singaling_turbo DL : 0: 协作通信，turbo码链路级仿真，中继采用置信传播算法-Collaborative communications, turbo codes link level simulation, the relay using belief propagation algorithm
Update : 2025-02-17 Size : 1.06mb Publisher : zhouxianzi
[AI-NN-PR] matlab-MRF-toy-examples DL : 0: 压缩感知中置信传播和马尔可夫随机场的全部源代码-Compressed sensing belief propagation and Markov random field full source code
Update : 2025-02-17 Size : 22kb Publisher : 康莉
[Program doc] BP-matlab DL : 0: Belief Propagation译码算法的matlab详细执行说明。-Implementing the Belief Propagation
Update : 2025-02-17 Size : 215kb Publisher : duo_bin
[Software Engineering] rufferkellett2008-implementing-the-belief-propaga DL : 0: the belief propagation algorithm in matlab
Update : 2025-02-17 Size : 213kb Publisher : hongnhung
[Special Effects] matlab DL : 0: 使用的版本：64位的MATLAB R2015b，代码可以直接运行仿真。（1）提取五个特征量中的Hu矩和仿射不变矩；（2）picture用来存放训练样本和测试样本；（3）save用来保存代码运行过程中提取的特征量，matlab1存放仿射不变矩特征量， matlab2存放Hu矩特征量，Hu_BBA存放样本的Hu矩的基本信度赋值和识别类型， FS_BBA存放样本的仿射不变矩的基本信度赋值和识别类型，目标识别矩阵、信息融果和判决结果在指令窗输出（1,2,3表示类型，0表示拒判）。（4）使用mewpnn函数建立PNN网络，除了散布常数外，其余参数为默认值；（5）PCR6可用于处理两个及三个以上的信息源，当处理两个信息源时与PCR5规则一致。 -Use versions: 64-bit MATLAB R2015b, code can be directly run the simulation. (1) extracts five feature amounts of Hu Moment and affine invariant moment (2) picture is used to store the training samples and testing samples (3) save to save the code runs in the process of extracting feature quantity, matlab1 store affine invariant moment features, matlab2 storage Hu moment features, Hu_BBA stored samples Hu moments basic belief assignment and identify the type, FS_BBA samples stored affine moment invariants basic belief assignment and identify the type of target recognition matrix, fruit and financial information verdict in the command window output (1,2,3 indicates the type, 0 indicates False Rejection). (4) use mewpnn function creates PNN network, in addition to spread constant, the other parameters to their default values (5) PCR6 can be used to handle two and three or more sources of information when dealing with two sources of information is consistent with PCR5 rules.
Update : 2025-02-17 Size : 8.87mb Publisher : 唐乐爽
[matlab] DeeBNetV3.2 DL : 1: matlab's deep belief network toolbox
Update : 2025-02-17 Size : 2.91mb Publisher : DAngelo
[AI-NN-PR] DeepLearnToolbox-master DL : 0: 这是用于深度学习的Matlab工具箱深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab toolbox for Deep Learning. Directories included in the toolbox ----------------------------------- `NN/` - A library for Feedforward Backpropagation Neural Networks `CNN/` - A library for Convolutional Neural Networks `DBN/` - A library for Deep Belief Networks `SAE/` - A library for Stacked Auto-Encoders `CAE/` - A library for Convolutional Auto-Encoders `util/` - Utility functions used by the libraries `data/` - Data used by the examples `tests/` - unit tests to verify toolbox is working)
Update : 2025-02-17 Size : 14.08mb Publisher : 3Radiant
[Other] LDPC DL : 0: ldpc编译码译码算法包括置信传播和比特翻转还有对数域的置信传播译码算法(LDPC Encoding and decoding algorithms include belief propagation and bit flipping, as well as the log domain belief propagation decoding algorithm)
Update : 2025-02-17 Size : 7kb Publisher : 李孟

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