搜索资源列表
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
Support_Vector_Machines_Ensemble_and_its_Applicati
- Support Vector Machines Ensemble and its Application in Remote Sensing Classification支持向量机在遥感图像中的应用-Support Vector Machines Ensemble and its Application in Remote Sensing Classification
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
paper1
- Paper error correlations and error reduction in ensemble classifiers
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
- This code for ensemble kalman filter
ENSEMBLE-CLASSIFIER-CODE
- this is matlab code for ensemble classifier such as decision tr-this is matlab code for ensemble classifier such as decision tree
random-subspace-classifier-ensemble
- 随机子空间集成分类器, 可以实现比bagging 更好的分类和识别-Random subspace classifier ensemble
TRADEMARK-CLASSIFICATION-BY-SHAPE-USING-ENSEMBLE-
- TRADEMARK CLASSIFICATION BY SHAPE USING ENSEMBLE OF
GSI-3DVar-Based-Ensemble
- 3DVar-Based Ensemble–Variational Hybrid Data Assimilation for NCEP 基于三维变分和集合方法的耦合研究 -GSI 3DVar-Based Ensemble–Variational Hybrid Data Assimilation for NCEP
ensemble-learing-for-decision-tree
- 决策树的集成学习,用Java语言实现！具有良好的分类性能！-ensemble learning for decision tree
FACE-RECOGNITION-USING-ENSEMBLE-STRING-MATCHING.r
- FACE RECOGNITION USING ENSEMBLE STRING MATCHING