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eemd
- 验模态分解（Empirical Mode Decomposition,简称EMD）是一种自适应信号分解方法,主要应用于非线性非平稳的信号。整体平均经验模态分解（Ensemble Empirical Mode Decomposition,简称EEMD）解决了EMD中出现的模态混合问题。-Ensemble Empirical Mode Decomposition
ClusterEnsemble-V2.0
- 用matlab实现聚类集成算法的功能，内含三个聚类集成算法，结果取最优-Cluster ensemble
ensemblekfilter
- ensemble卡尔曼滤波模型，能很好的在matlab上运行，并有好的结果-ensemble Kalman filter model, can be a good run in matlab and have good results
Machine_Learning
- 包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression-Highlights include unsu
bagging
- Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。-Breiman’s bagging, short for bootstrap aggregating, is one of the earliest ensemble based algorithms.
RandomForest
- Random Forest code for classification. Random Forest is an ensemble method to build classifier.
Observability--Ensemble-averaging-and-GPS-time.ra
- Remote control is a good way to perform tasks in dangerous or hard-to-reach areas, or to broaden the number of users on a localized test-bed. The web technology on the Internet now appears as a natural, cheap way to ensure the communication link in
Ensemble1
- Ensemble修改程序，包括源程序和调用程序及实例。-Ensemble modify the program, including the source and call procedures and examples.
Junit(framework)
- Un framework est un ensemble de classes et de collaborations entre les instances de ces classes
jihekalmangujiK
- 系统参数变化，用集合卡尔曼滤波器估计其变化-System parameters used to estimate the changes in the ensemble Kalman filter
ensemble
- adboost算法的测试和训练，能够做多分类器融合，获得很高分类精度-adboost algrithm， it can be used to operate multi-classifier fusion
AOSOLogitBoost_
- ensemble machine learning technique that uses logiboot. ensemble was proved to be of better accuracy than other methods
NetBeansProjects5
- Un diagnostic embarqué, ou On-Board Diagnostics (abrégé en OBD), est un ensemble de capacités de diagnostic matériel qui sont embarquées dans la plupart des véhicules à moteur thermique produits dans les années 2000. L OBD décrit les moyens à mettr
ensemblekfilter
- The algorithm used in this code is referenced from the following: S Gillijns et al "What Is the Ensemble Kalman Filter and How Well Does it Work?" Proceedings of the 2006 American Control Conference, Minneapolis, Minnesota, USA, June 14-16, 2006,
RidgeEEMD
- R-EEMD facilitates nonuniform and trial-dependent weights obtained by an optimization procedure during ensemble combination and results in less decomposition errors when compared with the conventional ensemble empirical mode decomposition tec
cyclicXover
- cyclic xoverg (an abbreviation of bootstrap aggregation) is one of the most extensively used ANN ensemble methods.
ENPF
- 集合卡尔曼粒子滤波算法matlab代码，能处理非高斯、非线性、多维状态的情况-Ensemble Kalman partilce filter algorithm using matlab code, can handle non-Gaussian, nonlinear, multidimensional state
Ensemble-Classifier-for-Concept-Drift-Data-Stream
- In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient
ode-to-joy
- 基于声音向量基本信息，运用matlab合成出欢乐颂的合奏谱-Vector-based sound basic information, the use of matlab ensemble spectrum synthesized Ode to Joy
eemd
- eemd，集合经验模分解算法，用于分解信号。-Ensemble Empirical Mode Decomposition