搜索资源列表
Machine.Learning.Vision-Based.Motion
- 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
Machine-Learning-Toolkit-Examples
- labview关于机器学习的案例，来源于NI lab，有多种方法：BP、Kernel PCA、Clustering、svm等等，值得大家学习。-labview on the case of machine learning, from the NI lab, there are a number of ways: BP, the Kernel the PCA, Clustering, svm, etc., is worth learning.
wxpso-svm
- 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.-Support Vector Machine SVM (Support Vector Machine) as a training of Machine learning method, rely on small sample after learning of the navigation star model parameters are extract
Tom_Machine_Learning_Chinese
- 机器学习书籍，Tom M.Michell的经典之作，中文版！
new
- 机器学习算法决策树是基于机器学习的数据挖掘技术,它形式简单,分类速度快,无需先验知识,对样本分布也无要求且由决策树表达的规则直观清晰。-machine learning decision Tree
Adaboost_1
- Adaboost算法是一个著名的机器学习的算法，由于它在目标识别上的成功应用，至使被广泛的工程技术人员所熟知，这里提供一个辅助自学的工程案例，读者可以体会算法中的技术细节。这对于激发原创性思维是至关重要的！-Adaboost algorithm is a well-known machine learning algorithm, due to the successful application in target recognition, to be known by a wide rang
ID3
- matlab实现机器学习中ID3算法，function D = ID3(train_features, train_targets, params, region)-function D = ID3(train_features, train_targets, params, region)
06102001
- 机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" -Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, o
StatisticalMachineLearning
- 讲述统计机器学习的原理、实现的算法以及计算过程，是经典文献之一-Introduction to Statistical Machine Learning
mahout-distribution-0.5.tar
- Mahout 是 Apache Software Foundation（ASF） 旗下的一个开源项目，提供一些可扩展的机器学习领域经典算法的实现，旨在帮助开发人员更加方便快捷地创建智能应用程序。Apache Mahout项目已经发展到了它的第三个年头，目前已经有了三个公共发行版本。Mahout包含许多实现，包括集群、分类、推荐过滤、频繁子项挖掘。此外，通过使用 Apache Hadoop 库，Mahout 可以有效地扩展到云中。 -Mahout is Apache Software Founda
-SVM-(support-vector-machine)
- 支持向量机SVM是一种新的机器学习方法，其基础是统计学理论。模型泛化能力强；进行非线性分类时通过高维空间变换。-Support vector machine SVM is a new machine learning method, its base is statistics theory. Model generalization ability When the nonlinear classification by high dimension space transformation
The-Boosting-Approach
- 机器学习的综述性材料，特别是从事boost的集成学习方法，对研究模式识别的人也有帮助-Overview of machine learning materials, especially in the boost the integration of learning methods, help the people of the pattern recognition
SVMRFE
- svmrfe 特征选择 后向排序 svm 数据挖掘 机器学习-Svmrfe after feature selection to sort SVM data mining machine learning
relief
- relief 特征选择 机器学习 数据挖掘 特征权重-Relief feature selection machine learning data mining feature weights
machine_learning
- 机器学习与神经网络课件，还有课后习题答案-machine learning
MIT-questionsaanswers
- MIT机器学习的习题和答案哦,比较齐全，可以下载来参考一下子。-MIT Machine Learning questions and answers， can be a good reference for your study!
manifold-learning.lle
- 流形学习是一种新的无监督机器学习方法，局部线形嵌入（Locally Linear Embedding，LLE）发现嵌入在高维数据中的低维流形，流形学习算法,MATLAB程序-manifold learning
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.
weka-sourcecode
- 使用WEKA这个数据挖掘和机器学习软件进行二次开发的入门代码。-some sourcecodes of the development of waka.
machine-learning-chinese-
- 机器学习中文版的书，很清晰，可能就是翻译偶尔有点难理解。-CHinese version of machine learning