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bow-latest.tar
- 贝叶斯学习算法分类文本。基于朴素贝叶斯分类器的文本分类的通用算法，是目前所知文本分类算法中最有效的一类-Bayesian text classification algorithm. Based on Bayesian classifier of the common text classification algorithm, which is known text classification algorithm the most effective one category
fenleisuanfa.tar
- 常用机器学习算法,java编写源代码,内含常用分类算法,包括说明文档-used machine learning algorithm, the preparation of java source code that contains commonly used classification algorithms, including documentation,
pri_divide
- 有序样品的最优分割程序。本程序优点在于分类齐全，使用方便、直观。供大家学习参考。-ordered the optimal sample segmentation procedures. The classification process is complete advantages, easy to use, intuitive. We reference for the study.
391
- 提出了一种新的基于规则的异常检测模型.把系统调用按照功能和危险程度进行了分类,该模型只是针对每类中关键调用(即危险级别为1的系统调用).在学习过程中,动态地处理每个关键调用,而不是对静态的数据进行数据挖掘或统计,从而可以实现增量学习.
现代统计学与ＳＡＳ应用
- 本书共分６篇，第１篇统计学基础知识与ＳＡＳ软件应用技巧，介绍了统计学的基本概念和学习方法、试验设计入门、统计描述、ＳＡＳ软件应用入门、编写ＳＡＳ实用程序的技巧、单变量统计分析和利用SAS／GRAPH模块绘制常用统计图的方法。第２篇试验设计与定量资料的统计分析，介绍了与ｔ检验、非参数检验和各种方差分析有关的试验设计和数据处理方法。第３篇试验设计与定性资料的统计分析，介绍了处理二维及高维列联表资料的各种统计分析 方法，包括卡方检验、Fisher的精确检验、典型相关分析、logistic回归模型和对数
isodata
- 用于将数据进行分类，对学习模式识别的朋友会非常有用-Used for data classification, pattern recognition learning can be very useful friends
DiscriminantMethods
- 距离判别法与Bayes判别法在分类中的应用。对于学习GUI同学很好。-Application of the distance discriminant law with the Bayes discriminant law classification the. Students for learning GUI good.
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
KNN
- 数据挖掘中的经典算法，机器学习领域常用的KNN临近学习算法，可用于文本向量分类等用途。-Classical data mining algorithms, machine learning algorithms commonly used KNN approaching learning can be used for text vector classification purposes.
NNapplication
- 数据挖掘经典算法之一，KNN临近算法。可用于机器学习领域的文本向量分类等用途。-One of the classical data mining algorithms, KNN algorithm approaching. Can be used for text vector machine learning classification purposes.
lenfeng
- 保证准确无误，是学习通信的好帮手，做视觉测量的上位机代码,Relief计算分类权重。- Ensure accurate communication is learning a good helper, Do Vision Measurement PC code, Relief computing classification weight.
mengbei_v71
- 基于互功率谱的时延估计，是机器学习的例程，Relief计算分类权重。- Based on the time delay estimation of power spectrum, Machine learning routines, Relief computing classification weight.
hengnan_v78
- 信号维数的估计，是机器学习的例程，Relief计算分类权重。- Signal dimension estimates, Machine learning routines, Relief computing classification weight.
meipan_v28
- 信号维数的估计，Relief计算分类权重，是学习PCA特征提取的很好的学习资料。- Signal dimension estimates, Relief computing classification weight, Is a good learning materials to learn PCA feature extraction.
qiu_xb58
- Relief计算分类权重，是机器学习的例程，解耦，恢复原信号。- Relief computing classification weight, Machine learning routines, Decoupling, restore the original signal.
Bayesian Efficient Multiple Kernel Learning
- 基于贝叶斯核学习的文档，在分类以及判断类别方面有帮助(Based on Bayesian Nuclear Learning)
RANSIC1
- ransac分类器，应用于二维点，自带检测算法(RANSAC classifier, applied to two-dimensional points, comes with detection algorithms)
g13tsr
- 机器学习启蒙实战学习源码，回归模型，分类模型，聚类和相似度模型，推荐系统，深度学习等学习代码。(Machine learning, practical combat learning source,regression model, classification model, clustering and similarity model, recommendation system, depth learning and other learning code.)
ELM_MatlabClass
- 极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。该程序是用于极限学习机分类。(Extreme learning machine only need to set the number of hidden nodes of the network, the algorithm execution process does not need to adjust the input weight
CART
- 对汽车评估的分类决策树构建,使用了常用的python的机器学习库scikit-learn(Construction of classified decision tree for automobile evaluation,Use the common Python's machine learning library scikit-learn)