搜索资源列表
gengamma
- Bayesian Model Selection
rjGaussian
- gaussian algorithm for Bayesian Model Selection
smcdemo1
- smcdemo1 for Bayesian Model Selection
libsvm-2.9
- 支持向量机的代码库，使用简单，主要用途是基于支持向量机的分类和回归。还包括C-SVM，nu-SVM，一类SVM，epsilon回归等功能。它还提供了用于C-SVM的自动模型选择工具。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-
Chapter4
- (书)现代通信系统使用MATLAB第四章-ALLIANCES is a recently proposed cooperative random access protocol for wireless networks. In this paper we modify the original model to include user location information. We also derive pair-wise error probability (PEP) un
Collaborativefuzzyclusteringmodel
- 协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型，并用此模型对数据进行测试。-Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing.
Chapter3
- (书)现代通信系统使用MATLAB第三章-ALLIANCES is a recently proposed cooperative random access protocol for wireless networks. In this paper we modify the original model to include user location information. We also derive pair-wise error probability (PEP) un
16QAM
- matlab实现16QAM调制解调 matlab实现16QAM调制解调-ALLIANCES is a recently proposed cooperative random access protocol for wireless networks. In this paper we modify the original model to include user location information. We also derive pair-wise error proba
ARMASA_1_8
- 一个横好的谱估计算法，AM ma 和arma模型，可以自动的选取。-A good cross-spectral estimation algorithm, AM ma and arma model selection automatically.
nouv2
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain algorithm, which can be used for target tracking, multi-target tracking, and video tracking and positioning-the progra
KPLLI
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain algorithm, which can be used for target tracking, multi-target tracking, and video tracking -the program based on part
mcSVM
- The software described in this report (mcSVM) implements the training and model selection of a Support Vector Machine for multiclass classiˉcation tasks (three-classes or more).-he software described in this report (mcSVM) implements the training and
Bayesian_Model_Comparison
- In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.Bayesian model comparison is a method of model selection based on Bayes factors.
PAPER4
- 一种基于非完全数据的路径损耗模型选择算法.pdf-A Model Selection Algorithm for Path Loss from Incomplete Data
rjMCMCsa
- 可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络-Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats t
optimized-genetic-model
- 改进的克隆选择算法求函数的极值 操作：高频变异、编辑、选择 多峰值函数优化，求函数的极值-Clonal selection algorithm for improved function extremum
AIC-modelisation
- The Akaike information criterion (AIC) is a measure of the relative quality of a statistical model for a given set of data. That is, given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other mod
module
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等-The program for a new algorithm based on particle filter, comprehensive MCMC Bayesian Model Selection is MONTE CARLO algorithm of marek s chain, used to i
AIC_MDL
- AIC & MDL The Akaike information criterion (AIC) is a measure of the relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other m
rjMCMC
- Nando de Freitas' sequential Monte Carlo demos in Matlab. Reversible Jump MCMC Bayesian Model Selection.