虫虫首页| 资源下载| 资源专辑| 精品软件
登录| 注册

mean

  • % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input da

    % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input data, n=number of observations, d=dimension of variable % k - maximum number of Gaussian components allowed % ltol - percentage of the log likelihood difference between 2 iterations ([] for none) % maxiter - maximum number of iteration allowed ([] for none) % pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) % Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) % % Ouputs: % W(1,k) - estimated weights of GM % M(d,k) - estimated mean vectors of GM % V(d,d,k) - estimated covariance matrices of GM % L - log likelihood of estimates %

    标签: multidimensional estimation algorithm Gaussian

    上传时间: 2013-12-03

    上传用户:我们的船长

  • % decode with soft-input viterbi algorithm 硬判决 % //k=4,r=1/2 %输入数据为软信息

    % decode with soft-input viterbi algorithm 硬判决 % //k=4,r=1/2 %输入数据为软信息,并且数据为均值为1的BPSK调制,如果均值为mean,那么62,63,103,104行应做相应修改

    标签: soft-input algorithm viterbi decode

    上传时间: 2014-10-28

    上传用户:aig85

  • The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full

    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.

    标签: Matlab-interfaces inference interface the

    上传时间: 2016-08-27

    上传用户:gxrui1991

  • ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Li

    ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis)

    标签: ClustanGraphics Complete Neighbor Linkage

    上传时间: 2014-01-02

    上传用户:003030

  • A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by mean

    A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by means of modules. It is not a new node object derived from Node. Rather it is a new layout of mostly existing components. Rationale for this new design has been presented in [1]. The MW-Node provides a flexible support for wireless and mobile networking and in particular: support for multiple interfaces/multiple channels, and a common basis for the implementation of wireless routing protocols.

    标签: Node Module-based capabilities Wireless

    上传时间: 2013-12-26

    上传用户:大三三

  • PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen

    PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std(b_j), obtained by jackknifing. The cutoff level, below which c_j is considered to be too small, indicating that the variable j should be removed, is estimated using a matrix of random variables.The predictive power of PLS models built on the retained variables only is evaluated over all 1-a dimensions =(yielding RMSECVnew).

    标签: from eliminates PRINCIPLE algorithm

    上传时间: 2016-11-27

    上传用户:凌云御清风

  • neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o

    neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.

    标签: Programmer Networks entirely network

    上传时间: 2013-12-24

    上传用户:liuchee

  • 韩国Yunjin Lee的博士论文

    韩国Yunjin Lee的博士论文,包含了她读博期间的主要研究成果,包括Mesh Scissoring: Contour-Based Segmentation,Mesh Parameterization Using Virtual Boundaries,Geometric Snakes for 3D Meshes,mean Shift for 3D Meshes

    标签: Yunjin Lee 韩国 论文

    上传时间: 2013-12-12

    上传用户:netwolf

  • GPS 接收程序 DEMO。 HsGpsDll Library 1.1 A GPS Control/Component for C/C++ HsGpsDll is a Windows Dyn

    GPS 接收程序 DEMO。 HsGpsDll Library 1.1 A GPS Control/Component for C/C++ HsGpsDll is a Windows Dynamic Link Library which provides access to any NMEA-183 compliant GPS receiver via a serial communications port. HsGpsDll is designed for use from Visual C, Visual Basic or other languages, capable of calling DLL functions. HsGpsDll allows a user application to read from a GPS device the current GPS position fix, velocity over ground (speed in kilometers per hour), plus number of of sattelites in view, current altitude (against mean sea level) and UTC date and time

    标签: HsGpsDll GPS Component Control

    上传时间: 2014-07-17

    上传用户:thuyenvinh

  • 1. 统计工资 设计要求: (1) 使用结构数组设计一个公司职员的数据结构

    1. 统计工资 设计要求: (1) 使用结构数组设计一个公司职员的数据结构,使用下述的结构定义: struct employee{ int age char name[15] double salary } (2) 在主函数里构造一个数组company,用来存放职工信息。 (3) 设计update函数,用来对company中指定职员的信息进行更改。要求先按照name查询到相应的职员,然后修改并保存。 (4) 设计一个read函数,用来向company中录入职员信息,并显示结果。 (5) 编写mean函数求平均工资。 应该能对全体职工或大于某一年龄的职工工资求和并计算平均值。 (6) 编写total函数对工资求和。 应该能对全体职工或某一年龄段职工的工资求和。

    标签: 数组 数据结构

    上传时间: 2014-01-23

    上传用户:colinal