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111
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. -C4.5algorithm is a kind of machine learning algorithm of decision tree classification algorithm, the algorithm is the core of ID3 algorithm.
knn_vb
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
Limit-the-return-of-learning-machine
- 极限学习机的回归拟合及分类——对比实验研究-Limit the return of learning machine fitting and classification-contrast experiment research
svm-code
- 基于SVM的文本分类系统，可以实现正常的中文文本分类。-C prepared using machine learning for text classification of SVM codes.
AdaBoostToolbox_v0.4
- 机器学习算法adaboost的一个新版本，相比以前的0.3版，修正了几个BUG。-A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
ML22
- machine learning search engine
c2
- 人工神经网络，机器学习，以及混沌神经网络的ppt-Artificial neural networks, machine learning, and chaotic neural network based on ppt
Software-faults-prediction-using-multiple-classif
- Abstract—In recent years, the use of machine learning algorithms (classifiers) has proven to be of great value in solving a variety of problems in software engineering including software faults prediction. This paper extends the idea of predi
qwe
- pima1indian dataset uci machine learning
aSDAF
- pima1indian continueee dataset uci machine learning
QDASFAD
- pima1indian CINDAF dataset uci machine learning
asdasdsaadasdas
- pima1indian dataset uci machine learning enflish
weka-3-6
- weka是用java编写的开源数据挖掘平台，与《数据挖掘：实用机器学习工具与技术》一书配套，特别适合于数据挖掘初学者-weka is an open source data mining plateform, which assort with the book named Data Mining:Practical Machine Learning Tools and Techniques, it is particularly suitable for abecedarian in data
weka
- 【数据挖掘、机器学习必备】简单实用的weka 中文教程。 -Data mining, machine learning essential] simple and practical the weka Chinese tutorial.
bayes
- java bayesian machine learning with imput type text java bayesian machine learning with imput type text -java bayesian machine learning with imput type textjava bayesian machine learning with imput type textjava bayesian machine learning wi
incremental_svm
- 这个套件包含了C + +实现"减量和增量支持向量机学习"，根据Cauwenberghs和Piggio他们的matlab实现。-This package contains a c++ implementation of "Incremental and Decremental Support Vector Machine Learning, Cauwenberghs and Poggio" based on their matlab implementation. Getting s
data-mining-gradient-descent
- 机器学习，数据挖掘，利用梯度下降的算法来实现。-Machine learning, data mining, using the gradient descent algorithm.
lfd_2005_naive
- Why Naive Bayes? Naive Bayes is one of the simplest density estimation methods from which we can form one of the standard classiˉcation methods in machine learning.
data
- UCI Machine Learning Repository公共数据-ucl data deposit