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tianqingqing
- 基于反馈的潜在缺陷模块序列,比较Ssadp与四个机器学习算法以及代码行升序模型这些基准模型的预测性能-Forecast performance based on the potential defects feedback module sequence comparison Ssadp baseline model with four machine learning algorithms, and the lines of code in ascending model
gda
- gda 基于高斯判别分析的高光谱地物分类 属于机器学习范畴-the gda hyperspectral terrain classification based on Gaussian discriminant analysis is a machine learning areas
FIND_S
- vc++实现的机器学习中FIND-S算法，帮助机器学习的初学者对FIND-S算法有深刻的了解。-have a deep understanding of machine learning achieved by the vc++ in FIND-S algorithm to help machine learning beginners Find-S algorithm.
HW1_Matlab
- Matlab Hwk for Datamining / Machine Learning
decisiontree-text-classfication
- 机器学习——决策树文本分类 基于vs2012编写，内有训练文本集。-machine-learning text classfication by decisiontree,program in the visualstudio2012.include a set of text to train.
k-mean
- K均值（用matlab实现花的分类，附注释，程序简单）-K-means (machine learning job classification flowers)
cs229-notes12
- 这是 Andrew Ng 机器学习讲义《Reinforcement Learning and Control》,包含了离散和连续MDP的内容，比官网的课件全。（官网的缺乏连续MDP部分）-This is Andrew Ng Machine Learning Materials " Reinforcement Learning and Control" , contains a discrete and continuous MDP content than the officia
SVM_GUI_3.1[mcode]{by-faruto}
- 支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表。 基本情况 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机（Support Vector Machine，简称SVM）。支持向量机的提出有很深的理论背景。 支持向量机
sparseAutoencoderCost
- 斯坦福大学机器学习课程的一个源代码例子，对于机器学习和deep learning的学习研究很有帮助-this codes are from standford university,which are about machine learning and deep learning.they will be helpful in this research field
zifuchaun
- 字符串机器学习算法实现 -String machine learning algorithms for string machine learning algorithm
Perceptron
- 机器学习中Perceptron算法统计词频-The statistics of words of perceptron algorithm in Machine Learning
Opencv_test
- OpenCV+VS2008 入门测试程序 显示图像 读取图像信息 机器学习 模式识别-OpenCV+ VS2008 entry test program reads the image information displayed image pattern recognition, machine learning
SogouC.reduced.20061102.tar
- 搜狗语料库，用于文本分类 数据挖掘 机器学习里面非常有用-Sogou corpus for text classification data mining machine learning which is very useful
machinelearning3
- machine learning in Logistic Regression(机器学习)-machine learning in Logistic Regression (machine learning)
SVM
- 利于机器学习的非常好的方法。如果帮助到您请给我多一些积分-Machine learning is a very good way beneficial. If help to you please give me some more points
C4.5
- 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. C4.5算法继承了ID3算法的优点，并在以下几方面对ID3算法进行了改进： 1) 用信息增益率来选择属性，克服了用信息增益选择属性时偏向选择取值多的属性的不足； 2) 在树构造过程中进行剪枝； 3) 能够完成对连续属性的离散化处理； 4) 能够对不完整数据进行处理。 C4.5算法有如下优点：产生的分类规则易于理解，准确率较高。其缺点是：在构造树的过程中，需要对数据集进行多次的顺序扫描
111
- 支持向量回归的研究,作为一个新的理论和方法，支持向量机回归在训练算法和实际应用等方面有诸多值得深入探讨的课题。-Machine learning is based on the data of modern intelligence technology is an important aspect. Statistical Learning Theory (SLT) is a specialized study of the law of machine learning theory of
Classification_toolbox
- classifiction toolbox是机器学习必须用到的工具箱。-classifiction toolbox to be used in machine learning toolbox.
renlea
- 解决不完全马尔科夫过程机器学习的学习方法-Learning method to solve the incomplete machine learning Markov process
gp-ml-g-
- 高斯过程回归训练，机器学习的matlab代码-gaussian process regression machine learning