搜索资源列表
Machine
- 由正则表达式生成有限自动机,显示有限自动机的状态和动作等,方便学习有限自动机课程。-By regular expressions to generate a finite automaton states and actions of finite automata, to facilitate learning finite automata courses.
cocc_learner
- 机器学习领域,self-taught-clustering算法,源码,出自戴文渊paper self-taught-learning-Machine learning ,transfer learing ,Impliment of self-taught learning algorithm in vc++,used in the paper-"self-taught clustering"-of WenyuanDai s
javaml-0.1.4.tar
- java machine learning application
matlab-code-based-image-retrieval
- 基于图像检索的matlab代码,基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等 相似度:马氏距离,欧氏距离等 相关反馈:机器学习方法,如SVM,神经网络等 检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
compass-true-machine-edition
- 指南针真机版,android各种特征对学习有很大帮助-The compass true machine edition, characteristics of android for learning are of great help!!!!!!!!!!
lunakoy
- Classification may refer to: Library classification Taxonomic classification (see Taxonomy) Biological classification of organisms Medical classification Scientific classification (disambiguation) Classification (literature) Supe
Apriori
- 机器学习中的关联规则算法,实现了数据间关联分析的功能-Association rules algorithm in machine learning, data correlation analysis between
matlab-ga
- 基本遗传算法的MATLAB语言源程序。(遗传算法的应用范围极其广泛,它可应用于函数优化、组合优化、生产调度问题、自动控制、机器人学、图像处理、人工生命、遗传编程以及机器学习等领域。)-Basic genetic algorithm matlb language sourc-e code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, com
MachineLearning
- machine learning for user
AdaBoost1987
- adaboost 原始文章中的算法,matlab实现。机器学习很好的学习程序-adaboost algorithm in the original article, matlab. Good learning machine learning program
CART
- 机器学习-CART决策树代码。使用UCI上面的Adult数据集。-Machine learning- CART decision tree using adult database on UCI.
machineLearning
- 机器学习-分类器-垃圾邮件系统。数据集来自UCI-spambase.data.-Machine Learning- spam classifier.
PCA_Fisher
- Matlab写的fisher 分类器,很简单适合初学者,体验机器学习的过程-Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.
GaborSvmTrnData
- 这是一个Gabor SVM算法,主要用于机器学习进行聚类-This is Gabor SVM algorithm in Machine learning
em
- 在统计计算中,最大期望(EM)算法是在概率(probabilistic)模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐藏变量(Latent Variable)。最大期望经常用在机器学习和计算机视觉的数据聚类(Data Clustering)领域。 -In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
GPML-Matlab-Code
- GPML Matlab Code The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning. It has since grown to allow more likelihood functions, further inference methods and a flexibl
[CPP]Chess-machine
- 象棋人机对战,很好基础编程源码,直接在vc下就可以运行,不需要安装别的东西。很好的学习材料对初学者来说。-The chess machine, a good basis for programming source code can run directly under the vc do not need to install something else. Good learning material for beginners.
fastsvm1
- 机器学习大牛Dale Schuurmans写的多类SVMs的快速实现算法,可以自己修改核函数,通过K-fold cross validation训练得到最优参数,分类效果很好-Machine learning large cattle Dale Schuurmans write multi-class SVMs fast algorithm, can modify the kernel function, the optimal parameters through K-fold cross v
040070208
- artificial intelligence decision tree, using knowledge machine learning and decisions
Basic-KNN-Implementation-by-Emre-Aslan
- Basic implementation of k nearest neighbor algorithm. I have implemented it for a Machine Learning lecture homework.