搜索资源列表
FASBIR
- Descr iption: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference:
MLC21NT-C
- machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorit
1106
- 一个完整的制袋机控制系统,包显示程序,步进电机驱动程序.-a complete bagging machine control system, including the display program, stepping motor driver.
Bagging
- 分类算法，采用bagging方法来选择训练集，《机器学习及java实现》里面的
ensemblelearning
- 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!
bagging-and-boosting-NNE
- 主要是给新手熟悉bagging和boosting算法在虹膜中的运用。-bagging and boosting algorithm in the application of the iris.
Baggingboostingandc45
- 模式识别bagging boosting c4.5算法-Bagging boosting c4.5 algorithm for pattern recognition
MATLAB3
- 一. 随机现象的模拟 例： 超市出口有若干个收款台，两项服务：收款、装袋。顾客的到达的时间间隔是随机的； 因顾客购买的货物量不同，所以服务时间的长短也是随机的。 可以利用计算机产生服从一定的规律（概率分布）的(伪)随机数，用随机数确定时间间隔和服 务时间-1. Random phenomena simulation cases: There are a number of export supermarket cashier, the two services: colle
fenleisuanfa
- R软件中数据挖掘的几个分类算法，包括bagging,oob-all,arc-fs-R software in several categories of data mining algorithms, including bagging, oob-all, arc-fs
BoostingandBagging
- boosting算法和bagging算法综述-boosting algorithm and bagging Algorithms
Bagging_predictors
- 介绍Bagging最早的、最经典的文献，作者是Bagging和随机森林的创始人LEO BREIMAN-Bagging first introduced, the most classic literature, the author is the founder of Bagging and random forests LEO BREIMAN
MatlabRandomForest
- MatlabRandomForest is a powerfull toolbox for programing Randim forest, Bagging, Boosting,.., in Matlab. The Matlab functions (RFClass.m, RFReg.m and RFPrint.m) and compiled Fortran code (RFClassification.dll and RFRegression.dll) must be stored i
OCD--code
- 通过对集成误差公式的理论分析，提出了一种能主动引导个体网络进行差异性学习的集成网络学习算法。该方法通过对集成误差的分解，使个体网络的训练准则函数中包含个体网络误差相关度的因素，并通过协同训练，引导个体网络进行差异性学习。该方法在基于油气分析的变压器故障诊断的实验结果表明，该方法的故障诊断准确率优于传统的三比值法与BP神经网络，其性能也比经典的集成方法Bagging和Boosting方法更稳定可靠。-A learning algorithm is proposed in this paper by
ADL-code
- 通过对集成误差公式的理论分析，提出了一种能主动引导个体网络进行差异性学习的集成网络学习算法。该方法通过对集成误差的分解，使个体网络的训练准则函数中包含个体网络误差相关度的因素，并通过协同训练，引导个体网络进行差异性学习。该方法在基于油气分析的变压器故障诊断的实验结果表明，该方法的故障诊断准确率优于传统的三比值法与BP神经网络，其性能也比经典的集成方法Bagging和Boosting方法更稳定可靠。-A learning algorithm is proposed in this paper by
YH5532-32XE-595
- 称重灌装机仪表程序。希望能帮助到在此行业上的朋友。-Weighing and bagging installed instrument procedures. Hope to help friends in this industry.
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.
bagging
- bagging算法的R语言实现，完整代码，运行速度较快-bagging algorithm R language, the complete code to run faster
bagging-NLDA-and-RLDA
- 利用matlab实现NLDA人脸识别算法，更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码，人脸库使用ORL库或者XM2VTS库，地址：http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r
bagging-boosting-random-forests-master
- bagging 工具箱，随机森林工具箱，使用MATLAB2014b 环境测试(Bagging toolbox, random forest toolbox, using the MATLAB2014b test environment)
GA-Bagging-SVM-code
- 基于matlab软件的Ga-bagging-svm程序，包含算例data，编写规范，非常好用(Ga-bagging-svm program based on MATLAB software, including example data, compiling specifications, very useful)