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Pattern_Recognition_and_Machine_Learning__Informa
- Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the
EM
- EM algorithm is the machine learning a very important algorithm, is expected to maximize algorithm
gSpan6.tar
- 频繁图挖掘实现算法gspan，用C++语言实现-an algorithm for subgraph discovery named gspan,it was first found by famous machine learning expert Jiawei Han
machinelearning
- 介绍如何使用OpenCV库中的机器学习部分-Introduce the machine learning part of OpenCV
jitizhihuibiancheng.pdf.tar
- 集体智慧编程，生动的讲数据挖掘、机器学习的算法，值得一看-Collective wisdom of the program, lively talk, data mining, machine learning algorithms, worth a visit
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
learning-of-svm
- 关于相关向量机的学习，在人工智能领域较新的应用，希望大家看一下-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at
Sparse-Bayesian-Learning-and-rvm
- 稀疏贝叶斯学习和相关向量回归，大家可以看一下，人工智能中的应用-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at...
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
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
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
jge(java-grammatical-evolution)
- netlogo仿真程序，多目标遗传java相关源代码-netlogo simulation program，R based genetic algorithm for optimization, variable selection and other machine learning and statistical analysis approaches.
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
An-Introduction-to-SVM-
- 支持向量机导论是目前介绍支持向量机原理比较经典的一本书籍。-A hot research topic in the support vector machine in machine learning, Support Vector Machine Introduction This book is a classic introduced support Vector machine books.
machine_learning
- 机器学习与神经网络课件，还有课后习题答案-machine learning
Pattern_Classification
- 模式分类英文版，非常好的machine learning课本-pattern classification， very useful for machine learning.