说明：Pattern Recognition and Machine Learning,人工智能方向必读的经典著作,也被一些国外大学用作教材

说明：extreme learning machine for feature classification

说明：Extreme learning machine is used to classify seizures based on feature extraction

说明：机器学习书籍，Tom M.Michell的经典之作，中文版！

说明：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。

说明：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。

说明：Application with OpenCV and delphi, Machine Learning,KNearest, OCR

说明：Pattern Recognition and Machine Learning by Cristopher Bishop

说明：EM algorithm is the machine learning a very important algorithm, is expected to maximize algorithm

说明：Weka同步课本-Data_Mining_Practical_Machine_Learning_Tools_and_Techniques_3rd_Edition-Mantesh

说明：用图像处理的方法进行星系形态分类，这里是相关机器学习的英文文献

说明：A book describing basic probability needed for fundamental CS theory in machine learning and other topics.

说明：tom mitchell 翻译来的机器学习中文版。中文的哦~读起来满顺的。书写得很有趣，跟大家分享~~

说明：christopher的模式识别和机器学习经典教材，非常非常非常非常好的书！一定不要错过！

说明：这是对Incremental Support Vector Machine Learning的C++实现。其中提供了测试数据供使用者入手。

说明：MATLAB实现象棋棋子识别的例子（选取的特征不够理想，识别率有待提高）

说明：A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.

说明：AdaBoost, short for Adaptive Boosting, is a machine learning algorithm, formulated by Yoav Freund and Robert Schapire. It is a meta-algorithm, and can be used in conjunction with many other learning algorithms to improve their performance.

说明：Pattern Recognition and Machine Learning.

说明：machine learning and statistic必看书籍

说明：斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。

说明：流形学习是一种机器学习。所谓 Machine Learning 里的 Learning ，就是在建立一个模型之后，通过给定数据来求解模型参数。而 Manifold Learning 就是在模型里包含了对数据的流形假设。

说明：jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. jBNC is primarily intended as a library for creation of Bayesian Classifier networks. Several algorithms for creation of networks are included. To aid testing the quality of classifier network a couple of simple command line tools for training and testing are included, see section TOOLS for more details. There is also a separate package called jBNC-WEKA that integrates jBNC with WEKA (Waikato Environment for Knowledge Analysis http://www.cs.waikato.ac.nz/~ml). jBNC-WEKA allows creation of jBNC classifiers from within WEKA, in particular, using WEKA s graphical user interface. For more info see jBNC homepage.

说明：machine learning pdfs

说明：machine learning pdf

说明：machine learning articles

说明：Alpaydin E. Introduction to machine learning (MIT Press, 2010)

说明：C#做了个摇奖机，功能比较简单。多线程实现，刚学，希望大家指点。

说明：the ELM method is a learning technique, used to train a system

说明：data mining and application in machine learning