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machinelearning3
- machine learning in Logistic Regression(机器学习)-machine learning in Logistic Regression (machine learning)
OPAUC
- One-Pass AUC 优化的matlab代码。参考文献：Wei Gao, Rong Jin, Shenghou Zhu and Zhi-Hua Zhou. One-Pass AUC Optimzation. In: Proceedings of the 30th International conference on Machine Learning (ICML 13), Atlanta, GA, 2013, JMLR: W&CP 28(3), pp.906-914. -This pa
regularization
- 正则化(regularization)，是指在线性代数理论中，不适定问题通常是由一组线性代数方程定义的，而且这组方程组通常来源于有着很大的条件数的不适定反问题。大条件数意味着舍入误差或其它误差会严重地影响问题的结果。-Regularization, in mathematics and statistics and particularly in the fields of machine learning and inverse problems, refers to a process of
Classification
- Machine learning, classification, logistic regression
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
mlclass-ex2
- 斯坦福大学在国际公开课上的机器学习的习题2的答案，仅供参考，-The answer machine learning exercises 2 for reference
mlclass-ex3
- 斯坦福大学在国际公开课上的机器学习里面的练习3的答案，仅供参考-Exercise Answers Stanford Machine Learning in the international open class inside 3 for reference purposes only
RVMclas
- In mathematics, a relevance vector machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression and classification.The RVM has an identical functional form to the support vector machine, b
finds
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。 它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。-Implementation and optimization of find-s algorithm in machine lea
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
maxent
- 运用最大熵对一个文本中的类进行训练模型，然后可用模型进行预测，结果返回类名，是机器学习语言的重要部分，支持汉字分类-Use of maximum entropy of a text in class training model, the model can then be used to predict the results returned class name is an important part of machine learning languages, support for
DataSet
- 这是在机器学习、人工智能、数据挖掘中经常用到的数据集，聚类分析也经常用，包括：UCI的数据集wine,yeast,iris等，还有USPS数据集，4k2_far,leuk72_3k数据集等。-This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used, including: UCI datasets wine
DeepLearnLab-master
- Deep learning for machine learning
imCRBM-master
- CRBM deep learning - machine learning
kmeans-lab
- K means clustering algorithm implementaion, machine learning
SVM
- 支持向量机(Support Vector Machine，SVM)是Corinna Cortes和Vapnik8等于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-SVM (Support Vector Machine, SVM) was Corinna ms Cortes and Vapnik8 is first proposed in 1995, it is to solve the small sample,
BayesianClasser
- 贝叶斯分类器Matlab实现 机器学习算法，用于分类的朴素贝叶斯分类器，Navie Bayesian Classifier 。-Bayesian classifier Matlab achieve machine learning algorithms for classification Naive Bayes classifier, Navie Bayesian Classifier.
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
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