搜索资源列表
bp-vision-master
- 置信度传播算法，用于恢复双视点图像中的物体深度(Belief propagation algorithm which is used to recover the depth of objects in dual view images)
convDBN-master
- 用于实现卷积深度置信网络，实现利用的是MATLAB代码(A deep belief network for convolution)
wow1 - Copy (2)
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old.
wow1
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. 2
kernelBP_chol
- 针对图像的基于核置信传播的分类器，具有收敛速度快，精度高的优点。(This is a sample code for Kernel Belief Propagation Classifier for images.)
kernelBP_loopy
- 本文是基于核置信传播的经典文献，对于正确理解该理论有很大帮助。(This paper is based on the classical literature of nuclear belief propagation, which is very helpful to understand the theory correctly.)
1-s2.0-S0925231213009697-main
- interesting paper about fuzzy belief
DBN代码
- MATLAB实例与人工智能神经网络深度学习深度信念网络(MATLAB instance and artificial intelligence neural network deep learning deep belief network)
DeepLearning
- 包含神经网络、卷积神经网络、深度信念网络等深度学习程序，该程序可以用于语音识别、分类等处。(Deep learning programs including neural network, convolutional neural network and deep belief network can be used for speech recognition, classification and so on.)
Learning Deep Architectures for AI
- 一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com- plicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep archite
PIHTN272
- LDPC码在基于BP (Belief Propagation) 的迭代译码相结合的条件下具有逼近Shannon 限的性能,()
RBMLIB_DBN
- 限制玻尔兹曼机和深度信念网络的matlab代码，有具体例子(matlab code Restricted Boltzmann machine and Deep Belief networks, with specific examples)
Dempster-Shafer-master
- Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief fu
BayesKit
- 贝叶斯网络，又称信念网络(Belief Network, BN), 或有向无环图模型，是由一个有向无环图(DAG,Directed acyclic graphical model)和条件概率分布(即知道P(xi|parent(xi))发生的概率构成，其中parent(xi)为指向xi的直接父节点)。它是一种模拟人类推理过程中因果关系的不确定性处理模型，其网络拓朴结构是一个有向无环图(DAG)。(Bayesian networks, also known as belief networks (B
4059600
- LDPC码在基于BP (Belief Propagation) 的迭代译码相结合的条件下具有逼近Shannon 限的性能,()
libsvm-master
- 深度信念网络程序，入门人士不错的选择，非工具箱(Deep belief network program, a good choice for beginners, not toolbox.)
HxDSetupCHS
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up
cdbn_matlab-master(3)
- 卷积深度信念网络进行图像建模、分类等应用代码(Convolution depth belief network for image modeling, classification and other application code.)
dbn-master
- 深度置信网络DBN，深度学习，神经网络，分类(deep belief network(DBN), deep learning, neural network, classification)
CDBN_sleepEEG
- 用卷积深度置信网络CDBN的方法来处理睡眠EEG;(use Convolutional deep belief networks to sleep EEG)