搜索资源列表
Gasen
- 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
ClusterPackV10
- 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 t
ClustererEnsemble
- 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 .
MatlabClusterEnsembleToolbox
- Matlab Cluster Ensemble工具箱-Matlab Cluster Ensemble Toolbox
eemd
- Ensemble Empirical Mode Decomposition的完整源码-Ensemble Empirical Mode Decomposition of the complete source code
enkf-matlab-0.28.tar
- 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
kltt
- Function to compute the Karhunen-Loeve Transform (KLT) on an ensemble of 1-D signals,
m11438
- 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 pr
predct
- 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 pr
Ensemble
- 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 algorith
UDEED
- 机器学习大牛周志华教授的关于“整体学习”的文章算法的实现。整体学习可以提高学习机器的推广能力。-Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate as well as divers
vbhmm
- Ensemble Learning for Hidden Markov Models.
CSNN
- 这个包包含6个代价敏感神经网络训练算法。-This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
em480
- ensemble averaging of a signal
Ensemble-learning-based-on-GMDH
- 基于自组织数据挖掘的多分类器集成选择的程序-Multiple classifiers ensemble selection based on GMDH
ensemble
- This code for ensemble kalman filter
7----Co-training-A-SEMI-SUPERVISED-ENSEMBLE-LEARN
- 7 - Co-training A SEMI-SUPERVISED ENSEMBLE LEARNING ALGORITHM-6-7 - Co-training A SEMI-SUPERVISED ENSEMBLE LEARNING ALGORITHM-6
61---A-Genetic-Algorithm-Based-Ensemble-Approach-
- 61 - A Genetic Algorithm Based Ensemble Approach for Categorical Data Clustering.rar
17---Complementary-Ensemble-Clustering-of-biomedi
- 17 - Complementary Ensemble Clustering of biomedical data.rar
ensemble
- Ensemble clustering for image