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Description: This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
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Size: 4047872 |
Author: wsy |
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Description: NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
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Size: 8192 |
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Description: 集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。-Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.
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Size: 5144576 |
Author: 胡军 |
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Description: matlab格式源代码。功能：模糊BP神经网络集成解耦算法和应用于控制优化模型问题。-matlab source code format. Function: fuzzy BP neural network ensemble decoupling control algorithm and optimization model applied to the problem.
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Size: 5120 |
Author: magic |
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Description: Generation of the ensemble average.
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Size: 2048 |
Author: hecsp |
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Description: 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression problem in view of factor analysis. In order to overcome the instability problem caused by performing independent component analysis, a DNA microarray data ensemble classifier based on selective independent component analysis is proposed. The reconstruction error of each gene is analyzed firstly and a part of independent components which contribute relatively small reconstruction errors are selected to reconstruct new samples. After that, several support vector machine base classifiers are trained simultaneously. Finally, the best base classifiers with high correct rates are selected to participate in the ensemble, using the majority voting method. Results on three publicly available microarray datasets show the feasibility and validity of the method proposed in this paper.
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Size: 1427456 |
Author: cumtgyy |
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Description: 该程序是用matlab写的一个利用遗传算法的选择性集成算法-The program is written in a matlab genetic algorithm using selective Ensemble Learning algorithm
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Size: 5120 |
Author: eric |
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Description: 聚类分析工具箱 亚历山大博士写的，用于聚类分析，功能比较全-Cluster Analysis and Cluster Ensemble Software
ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in the following. They are a selection out of my personal codebase for machine learning research. They contain general clustering algorithms as well as special algorithms developed in my research as indicated in the README files
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Size: 238592 |
Author: 王鹏 |
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Description: The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
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Size: 1024 |
Author: loris nanni |
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Description: Show work of ODE45 function. As the example use lorenz equation. Example show ensemble Puankare and phase picture
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Size: 1024 |
Author: Alexandr |
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Description: 聚类集成的matlab程序,将集成学习算法引入聚类算法中，提高聚类算法的性能-cluster ensemble learning algorithom ,this algorithom put ensemble learning algorithom into the cluster algorithom to improve the capability .
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Size: 6144 |
Author: tanran |
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Description: Alexander Strehl的CLUSTER ENSEMBLE算法-----------------------------------------------------------------------
CLUSTERENSEMBLE README Alexander Strehl Version 1.0 2002-04-20
----------------------------------------------------------------------
This package contains a MATLAB implementation of the cluster
ensemble algorithms as described in
A. Strehl and J. Ghosh, "Cluster Ensembles- A Knowledge Reuse
Framework for Combining Partitionings", Proc. of 18th National
Conference on Artificial Intelligence (AAAI 2002), July 2002,
Edmonton, Canada, pp. 93-98
To use it copy all eleven files
ClusterEnsembleTest.m
README_ClusterEnsemble.txt
ceevalmutual.m
clbtocl.m
clstoclbs.m
cltoclb.m
clusterensemble.m
cspa.m
hgpa.m
mcla.m
norml.m
to a directory in your MATLAB path or the current directory in
your MATLAB environment. Also, make sure that you have CLUSTERBASICS
installed. Then, in MATLAB just type
clusterens
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Size: 223232 |
Author: 林安 |
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Description: Matlab Cluster Ensemble工具箱-Matlab Cluster Ensemble Toolbox
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Size: 7168 |
Author: 林安 |
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Description: Ensemble Empirical Mode Decomposition的完整源码-Ensemble Empirical Mode Decomposition of the complete source code
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Size: 4096 |
Author: Yuan-chi Chen |
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Description: this matlab code for estimating the static linear system(system function is time variable) with Kalman Filter.
this program is written by matlab 7.0.
Here we want to estimate the below function:
this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.-this is matlab code for estimating the static linear system(system function is time variable) with Kalman Filter.
this program is written by matlab 7.0.
Here we want to estimate the below function:
this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.
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Size: 1024 |
Author: maysam |
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Description: 数据同化的经典算法，集合卡尔曼滤波算法，用Matlab写的，里面附有一些参考文献，初学者适用-Classical algorithm of data assimilation, ensemble Kalman filter algorithm, written using Matlab, which with some references, for beginners
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Size: 7256064 |
Author: 小娴 |
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Description: 该源代码主要是利用bagging,adboosting等集成学习的方法进行图像融合处理，效果甚好！-The main source is the use of bagging, adboosting ensemble learning methods such as image fusion, the effect is very good!
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Size: 26624 |
Author: 孟子清 |
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Description: 用adaboost算法生成基支持向量机分类器，并对识别结果进行简单投票法集成。附有支持向量机工具箱和adaboost算法流程说明。-Adaboost algorithm to generate the base with a support vector machine classifier, and the recognition result is a simple voting method integration. With support vector machine algorithm toolbox and adaboost process description.
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Size: 1642496 |
Author: 李娜 |
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Description: 简明全面地实现了集合卡尔曼滤波资料同化的方法，缺乏主程序，需要自己调试，英文注释。(The method of data assimilation for ensemble Calman filtering is simple and comprehensive. It lacks the main program and needs to debug itself.)
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Size: 7266304 |
Author: jqjtzq1234
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Description: MATLAB中无人机同步规划定位与制图的仿真(Simultaneous Planning Localization And Mapping For Unmanned Aerial Vehicles)
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Size: 212992 |
Author: 7kSu
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