搜索资源列表
dat_banana
- 香蕉形(banana)标准数据集，用于测试机器学习与模式识别算法。-Banana-shaped standard data set for testing machine learning and pattern recognition algorithm.
mitmatlab
- mitmatlab工具箱，有各种机器学习的算法-mitmatlab toolbox, there are a variety of machine learning algorithm
ARMiner
- 关于机器学习电子书，机器学习领域当中最经典的一版-E-books on machine learning, machine learning, the most classic version of
OpenBUGS
- 这是国外研究Gibbs采样和Bayesian推理的研究人员写的工具包软件，最新版本为V1.4.3。很适合研究机器学习及其贝叶斯推理的科研人员使用。-The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte
fbm.2004.11.10
- 《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。 -This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
RandomForests
- 关于机器学习领域分类的随机森林算法的相关学习资料-learning things about random forests
machinelearning
- 机器学习和数据挖掘有密切的联系，本文放在一起做一个粗浅的介绍-Machine learning and data mining are closely linked, the paper together to make a crude descr iption
machine_study
- 这一个基于机器学习的PDF文件，共12个，全是英文，能够更准确的了解和学习机器学习-This is a machine learning-based PDF file, a total of 12, all in English, to a more accurate understanding and learning machine learning
machineLearning
- 机器学习是人工智能和神经计算的核心研究课题之一。-Machine learning is the core of artificial intelligence and neural computing research one of the topics.
Machinelearninganddataminingoffeatureextraction.ra
- 实现通用机器学习及数据挖掘的特征提取及贝叶斯网络程序。-Achieve universal machine learning and data mining of feature extraction and Bayesian network program.
123
- 关于支持向量机的算法 支持向量机在解决小样本、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-On support vector machine support vector machine algorithm to solve small sample, nonlinear and high dimensional pattern recognition showed the advantage of many special, and can be
reading_categorization
- 网页自动分类技术已经成为Web领域的一个研究热点。本章主要讨论如何应用有指导的机器学习方法实现大规模中文网页的自动分类，以及如何应用中文网页自动分类方法实现搜索引擎目录导航服务-Automatic classification of Web technology has become a hot topic in Web field. This chapter focuses on the application of machine learning methods are directed
manifolds
- 流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。-Manifold learning in recent years the field of machi
Classical_machine_learning_genetic_algorithm_tutor
- 经典机器学习 遗传算法教程Classical machine learning genetic algorithm tutorial-Classical machine learning genetic algorithm tutorial Classical machine learning genetic algorithm tutorial
vbocr
- 用VB写的指纹识别的源程序,可供学习机器识别之用-Fingerprint identification using VB to write the source code, machine learning for identification purposes
icaFacesCode
- 机器学习和模式识别的常用算法，独立主元分析，常用于人脸图像识别。此压缩包含有完整的用于人脸图像的算法源码-Commonly used machine learning and pattern recognition algorithms, independent component analysis, commonly used for facial image recognition, speech recognition, etc.
datamining
- 通用机器学习及数据挖掘的特征提取及贝叶斯网络程序-General machine learning and data mining feature extraction and the bayesian network program
lect2
- 牛津大学机器学习课件 svm classifier-oxford svm classifier by prof. A. Zisserman
lect3
- 牛津大学机器学习课件 Kernels:Linear separability,Feature mapping,Kernels for SVMs-oxford lecture notes kernels by prof. A. Zisserman
lect4
- 牛津大学机器学习课件 分类器 logistic regression， AdaBoost-oxford lecture notes Classifiers： logistic regression， AdaBoost