搜索资源列表
COScode
- μC/OS-Ⅱ读做\"micro C O S 2\"，意为\"微控制器操作系统版本2\"。世界上已有数千人在各个领域使用μC/OS，例如，照相机行业、医疗器械、音响设施、发动机控制、网络设备、高速公路电话系统、自动提款机、工业机器人等等。很多高等院校将μC/OS用于实时系统教学- Mu C/OS- II reads makes \"micro C O S 2\", Italy is \"micro controller operating system edition 2\". In the
QTTest
- 基于Linux的系统设计与实现基于Linux的多功能学习机系统设计与实现-Linux-based system design and implementation of multi-purpose learning machine based on Linux System Design and Implementation
vmware
- 虚拟机学习帮着文件，可以教你如何安装虚拟机，进行Linux系统编程；-Virtual machine learning helped file, can teach you how to install a virtual machine, the Linux system programming
Machine.Learning.in.Document.Analysis.and.Recogni
- Machine Learning Techniques are described here.
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
MATLA_xiangliang_B_X_L_P
- 基于MATLAB支持向量机实验模型研究与设计 支持向量机作为一种优秀的学习方法，它具有理论完备、适应性强、全局优化、训练时间短、泛化性能好等优点，已成为当前国际机器学习界的研究热点，有着很好的应用前景。-MATLAB-based support vector machine experimental model of research and design support vector machine as an excellent way to learn, it has the adva
pack1.51.tar
- TexLexAn is the project of an automatic text analyzer, classifier and summarizer. This software is at the frontier of the artificial intelligence and of the machine learning, and participates at its very modest level to the development of the softwar
svm_light
- SVM数字识别，很好的源代码，学习参考。-neural ntwork and machine learning.
KMeans
- C++ 实现K-means，机器学习部分,附带测试数据-C++ realize K-means, Machine Learning
lda-c
- LDA是一种文档主题生成模型，也称为一个三层贝叶斯概率模型，包含词、主题和文档三层结构。文档到主题服从Dirichlet分布，主题到词服从多项式分布。 LDA是一种非监督机器学习技术，可以用来识别大规模文档集（document collection）或语料库（corpus）中潜藏的主题信息。它采用了词袋（bag of words）的方法，这种方法将每一篇文档视为一个词频向量，从而将文本信息转化为了易于建模的数字信息。但是词袋方法没有考虑词与词之间的顺序，这简化了问题的复杂性，同时也为
lacp
- lacp代码，可以参照学习Lacp协议的相关状态机等知识-LACP code, can refer to the relevant state machine learning knowledge of Lacp protocol
bayes_examp
- 朴素贝叶斯分类算法是机器学习中十分经典而且应用十分广泛的算法，下面将逐步学习和说明。-Naive Bayes classifier machine learning algorithm is very classic and very broad application of the algorithm, the following will gradually learn and descr iption.
net
- 机器学习irect和unrolling乘法数一模一样，所以图上只有direct的。unrolling方法就是为blas/gemm设计的，至于blas/gemm把矩阵乘复杂度、乘法数降到多少还没见，但是那就到blas优化的范畴了。 -Machine Learning irect and unrolling exactly the number of multiplications, so the figure of only direct. unrolling method is to bla
ImgCompare.sh.tar
- This bash scr ipt provides a way to identify similar photos (e.g. similar size, content, distribution ) and not exact duplicates. This is particularly helpful when training images for Machine Learning purposes. How it works: the scr ipt in
xgboost_0.4-3
- 机器学习速度快效果好的R语言boosting模型包。-Machine learning speed boosting effect of a good R language model package.
Random-Forest-Regressor-master
- 本软件可以用来进行随机森林预测分类，并且能够回归-Random Forest, an efficient regression and classification tool in area of machine learning. The Programms performs well and a demo is offered.
PyVowpal-master
- Python wrapper for the Vowpal Wabbit machine learning library.
assignment1
- Python codes for Machine Learning with AI. The compressed codes here is for 1st assignment which includes 6 questions.
kddcup.data
- KDD CPU 99 数据集 用于网络安全方向的数据分析，支持向量机的建立 机器学习，人工智能等(KDD CPU 99 data set Data analysis for the direction of network security and the establishment of support vector machine Machine learning, artificial intelligence, etc.)
Q-Learing路径规划MATLAB仿真
- 基于的 Q-Learing 的 机器学习 避障 matlab代码(Q-Learing based machine learning obstacle avoidance matlab code)