搜索资源列表
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
icaML
- 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 mixin
LBP
- loopy belief propagation 算法-loopy belief propagation algorithm
1Trust
- 基于D-S证据理论的信任模型研究与实现,用matlab编写代码仿真实现模拟图形-design and realize of belief model baseed on D-S theory of evidence
BPalgorithm
- belief propagation algrithm
gbp
- Gaussian belief propagation code in matlab.
data-dig
- 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法, 决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Baye
BP
- 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
LDLC
- Low density lattice decoder via non-parametric belief propagation
fault_detection
- Distributed fault identification via non-parametric belief propagation
NBP
- Nonparametric belief propagation implementation
Interval-valued-belief-structures
- Interval valued belief structures
Belief-propagation
- 一些关于置信度传播算法的论文资料，欢迎下载学习参考-Some papers on the belief propagation algorithm information, please download learning reference
belief
- 信任函数理论，也称为D-S证据理论，是经典概率理论的扩展。特别适应于决策级信息融合。-Belief function theory, also known as DS evidence theory is an extension of classical probability theory. Especially adapted to Decision Level Information Fusion.
Demo-Belief-Propagation
- 高光谱Belief Propagation-Belief Propagation
DeeBNetV3.2
- matlab's deep belief network toolbox
RBM-DBN
- 有限玻尔兹曼机、深度置信网的Matlab实现，用mnist数据进行验证，对理解深度学习原理有帮助。(A Finite Boltzmann machine and deep belief network are implemented in MATLAB and verified with MNIST data. It is helpful to understand the principle of deep learning.)
Deep-Belief-Network-for-Regression-master
- 利用深度置信网络进行回归建模(Regression Modeling Using Deep Belief Network)