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boost.m.31oct02.tar
- 一种新的人脸识别算法程序-a new face recognition algorithm
EMdemo
- n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
rjMCMCsa
- On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and
RaoBlackwellisedParticleFilteringforDynamicBayesia
- The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient stat
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
On-Line_MCMC_Bayesian_Model_Selection
- This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation a
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation paramete
MCMC_Unscented_Particle_Filter_demo
- The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eri
LDPC-2006-02-08.tar.gz
- Software for Low Density Parity Check Codes Radford M. Neal Version of 2006-02-08. This collection of programs and modules, written in C, is intended to support research and education concerning Low Density Parity Check (LDPC) codes. (Note, however,
antnet-1.1.rar
- Programming language: Developed in Omnet++. Comment: The model implements the AntNet routing algorithm proposed in: G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Re
arrow3.m.tar
- matlab中实现箭头的程序，直接作为函数使用。-matlab realize the arrow in the procedure
xy2libsvm.m.tar
- 将二维数据转换成libsvm格式的程序，matlab格式文件，可作函数调用。-Will be two-dimensional data into libsvm format procedures, matlab format and can be used for function calls.
genesis_source_2.0_080416.tar
- 处理海洋中传播路径的源代码非常好用 方便-This report is adapted from the master’s thesis of the same title by James A. Hawkins. Soon after enrolling in the Department of Physics in 1984, Mr. Hawkins began work on the wind turbine noise propagation project. The dat
src.tar
- 期望最大化的算法代码，类似于k近邻，分为两个步骤：E步骤和M步骤。-Expectation maximization algorithm code, similar to the k nearest neighbor, is divided into two steps: E steps and M steps.
tricurv.tar
- Function to calculate the principal curvatures on a triangular mesh. Approximations of curvature are based on local (N=1) neighborhood elements and vertices. Note: Directions of curvatures aren t calculated appropriately. Will post an updated ve
bdsccode.tar
- BDS statistics: Correlation integral (from chaos theory) is used in this code. The time series is embedded in an m-dimensional space and the near neighbors are used to calculate the statistics.
Miramichi_1982.tar
- it is an m file for seismic analysis
rectpulse.m.tar
- Rectangular pulse propagation with FDTD Matlab
gradientDescentTrain.m.tar
- 一个matlab的m文件，使用梯度下降法进行数据训练实现数据分类（线性可分问题）- A matlab m file, the training data using a gradient descent method for data classification (linearly separable problems)
AMG1.1.tar
- 基于代数多重网格的算法实现程序包，里面包含许多m文件，方便理解与应用。-its a matlab program about AMG,there are many m file inside.very helpful!