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Book-Draft---An-introduction-to-probabilistic-gra
- An introduction to probabilistic graphical models - M Jordan
code
- 数据结构课程设计（图的遍历和生成树求解实现）-operation system choice(gra,G,d)
r2st6u.ZIP
- 正交试验下基于FMMESA和GRA的环境应力_故障关联分析Orthogonal test based on FMMESA and GRA environmental stress _ fault correlation analysis-Orthogonal test based on FMMESA and GRA environmental stress _ fault correlation analysis
lmn4op.ZIP
- 正交试验下基于FMMESA和GRA的环境应力_故障关联分析 (1)Orthogonal test based on FMMESA and GRA environmental stress _ fault correlation analysis (1)-Orthogonal test based on FMMESA and GRA environmental stress _ fault correlation analysis (1)
gra
- 画图功能的 一款小程序 直线，矩形，园，各种曲线 清屏 保存 加载-A small program for drawing features straight lines, rectangles, park, all kinds of curve clear screen to save load
GRA
- 本代码实现了灰色关联度分析，仿真了整个分析过程，是一个高效实用的代码值得下载实用。-The source implementation of the Grey Relational Analysis and simulation of the entire analysis process is a practical and efficient code is worth the download utility.
gra
- 1.以邻接表作存储结构，编写深度优先、广度优先的算法。 2、以邻接表作存储结构，编写最小生成树的算法。 3、以邻接表作存储结构，编写最短路径的算法。 1.以邻接表作存储结构，使用非递归方式编写深度优先、广度优先的算法。 -Adjacency list storage structure, writing depth first, breadth-first algorithm. 2 adjacency list storage structure, the preparati
gra
- 基于灰色关联算法的多属性节点切换的MATLAB实现-Switching multi-attribute node based on gray correlation algorithm in MATLAB
SpeedTree51
- Speedtree SDK v.5.1 for real time renderer trees end gra-Speedtree SDK v.5.1 for real time renderer trees end grass
1-s2.0-S0022460X12005615-main
- Crack level estimation approach for planetary gearbox based on simulation signal and GRA
gra-GO
- gomoku game in csharp, c#
GRA
- A various of Grey corrlation degr-To analyze the correlation
gra
- This is a matlab corner detection programming language source code.
gra
- This is a matlab programming problem solving in source code.
Program
- 格拉布斯准则 C#实现 剔除异常值 格拉布斯准则 格拉布斯准则是以正态分布为前提的，理论上较严谨，使用也方便。 某个测量值的残余误差的绝对值 |Vi |>Gg，则判断此值中有较大误差，应以剔除，此即格拉布斯准则。(Grab J function C# grubbs criterion The Grab J criterion is based on the normal distribution, and it is more rigorous in theory and c
Recenatioolutionon
- Recent innovations in training deep convolutional neural network models have motivated the design of new methods to automatically learn local image descriptors. The latest deep ConvNets proposed for this task consist(from machine learning show that
list avancé
- graphs implemented in C