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c_inference_ver2.2
- 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
approx_coars
- Coarsening approximations of belief functions
BPalgorithm
- belief propagation algrithm
BayesNetWorkMSBNx
- 数据挖掘中贝叶斯信念网络的软件，可进行描述与分类。-Data Mining of Bayesian belief networks in software, can be described and classified.
TRW_S-v1.3
- belief propagation implementation
multiScale_KalmanFilter
- 用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this impleme
PBP
- 用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。-Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our
efficient_belief_prop.tar
- a C++ implementation of the stereo and image restoration algorithms described in the paper: Efficient Belief Propagation for Early Vision Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, Vol. 70, No
dbn-master
- Codes related with tutorial: *Data modeling: deep belief networks*. Getting Started - Presentation - https://docs.google.com/presentation/d/1wZ8Mx6q3H-gwZh-lJWBQFPUmuhSZWwNp5QYxLBW4v5U- Codes related with tutorial: *Data modeling: deep be