搜索资源列表
Programming-Collective
- 集体智慧编程，机器学习的经典入门书籍，已经绝版-The collective wisdom of programming, machine learning classic book entry
dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
htl4ic
- 使用新兴的机器学习方法：迁移学习进行图片分类，分类效果明显提高。-Use the emerging machine learning methods: migration study carried pictures segments, segment results improved significantly.
KMeans
- C++ 实现K-means，机器学习部分,附带测试数据-C++ realize K-means, Machine Learning
mlclass-ex2-005
- 机器学习代码，线性回归逻辑回归，直接运行即可-linear regression
mlclass-ex1-005
- 斯坦福机器学习公开课第一次作业代码,matlab或者octave-Stanford open class machine learning code first job
textclassifer
- 一个小的嵌入式机器学习程序 基于weka的机器学习算法程序的应用实例-A small embedded machine learning procedures based on the weka machine learning algorithm for the application of procedures
Neural-network-and-SVM-courseware
- 讲述了神经网络的基础知识，顺利过渡到支持向量机这种特殊的机器学习工具。通过对本课程的学习，会充分了解到支持向量机与神经网络的区别及联系。-Tells the story of the basic knowledge of neural network, a smooth transition to the support vector machine (SVM) this kind of special machine tools. By learning this course, you wi
Kmeans_VS_EM_OnLaborDataSet
- 使用著名的数据挖掘和机器学习软件WEKA，在标准数据集labor上，比较Kmeans与EM算法。-Use well-known data mining and machine learning software WEKA, on standard data sets labor, relatively Kmeans with EM algorithm.
note-of-ml
- 斯坦福大学机器学习课程讲义，深入浅出、内容丰富-Stanford university machine learning course notes, simple and rich in content
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
tpami13lld
- PATTERN ANALYSIS AND MACHINE INTELLIGENCE(模式识别和机器学习的经典期刊)上对于Facial Age Estimation by Learning from Label Distributions的详尽描述。附有文章原文及相关代码。-For a detailed descr iption of Facial Age Estimation by Learning from Label Distributions of (pattern recognition
SVM
- 机器学习方法中支持向量积学习算法,带有实例数据，适合机器学习的朋友使用！-Support Vector Machine，SVM
BP-matlab
- matlab实现神经网络中的BP算法，基于斯坦福大学机器学习的网络公开课-matlab realize the BP neural network algorithm, Stanford Machine Learning based networks open class
mlclass-ex1
- 斯坦福大学机器学习公开课程第一讲matlab实现作业--线性回归。-Stanford Machine Learning public speaking courses matlab achieve first job- linear regression.
mlclass-ex2
- 斯坦福大学机器学习公开课程第二讲matlab实现作业--逻辑回归。-Stanford Machine Learning public speaking courses matlab achieve second job- logistic regression.
mlclass-ex3
- 斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
mlclass-ex4
- 斯坦福大学机器学习公开课程第四讲matlab实现作业--神经网络学习。-Stanford Machine Learning public speaking courses fourth matlab realize the job- neural network learning.
ZJU-SVM
- 浙江大学 机器学习 部分svm学习课件，很有用-An excellent learning material of ZJU about SVM