搜索资源列表
RBF
- RBF algorithm of Machine Learning
src
- machine learning + sarsa + q learning source code
ID3
- implementation of ID3 algorithm. ID3 is one of the machine learning algorithms.
State-machine-programming
- 状态机程序设计,学习协议的制订；掌握状态机程序设计方法；在232通信接口的基础上如何实现链路层功能，实现一个简化的SDLC协议。-State machine programming, learning agreement developed master state machine programming method in 232 communication interface, based on how link layer functions, to achieve a simplif
simpleSVM_3
- 用于学习的简单的SVM程序（作者：gloosli），里面有1类SVM-The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM
normizeimage
- 用于遍历一个文件夹下所有的图片文件，对图片进行归一化，同时还进行翻转，对于机器学习制作样本，归一化非常有用（环境opencv2.2 vc2010)-Traverse a folder for all image files, the picture is normalized, while the flip, making samples for machine learning, normalization is very useful (Environmental opencv2.2 vc2
gpml-matlab
- Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
Libsvm
- 人工智能领域中机器学习所用的支持向量机算法，用C++ & Python编写，可以直接使用。-Artificial Intelligence field: Machine Learning Supported Vector Machine C++ & Python Source Code you can use it as you like
stasm
- C++编写的人工智能领域机器学习方向模式识别所用的STASM算法，开源，适合修改或直接使用，适合初学者参考。-Artificial Intelligence and machine learning pattern recognizition STASM algorithm, open source, easy to modify or use directly.
GA
- gA 算法是机器学习很重要的算法，目前正在开发研究阶段，其算法是仿照人类而生的。-gA machine learning algorithm is very important to the algorithm, is currently developing the research stage, the algorithm is modeled on the human born.
bayes
- 机器学习中关于贝叶斯公式和全概率公式的PPT讲解 很全面细致-Bayesian machine learning on the total probability formula and the formula is very comprehensive and detailed explanation of PPT
SJ_FSM
- 这是有限状态机的学习资料，详细介绍了设计有限状态机的步骤和方法，对想学习数字系统设计的朋友应该有所帮助-This is a finite state machine learning materials, details the steps to design finite state machines and methods for studying digital system design to a friend should help
MissSVM
- 人工智能机器学习神经网络 -Artificial neural network artificial intelligence, machine learning machine learning neural networks
026201243X-LearningA
- Alpaydin E. Introduction to machine learning (MIT Press, 2010)
ex1
- Tasks of the machine learning lessons
IrisDC06
- 分类是数据挖掘 、机器学习 和模式识别 中一个重要的研究领域。分类的目的是学会一个分类模型 (称作分类器)，该模型能把未知类别的数据项映射到给定类别中。目前发展较成熟的几种分类算法 如决策树、神经网络、贝叶斯方法、遗传算法等。分类具有广泛的应用，例如医学诊断、信用卡系统的信用分级、图像模式识别等。本毕业设计通过使用鸢尾属植物(IRIS)数据集，对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较，总结出了各种算法的特性，为使用者选择算法或研究者改进算法提供了依据。-Classificatio
ch1
- machine learning articles
ch2
- machine learning pdf
ch3
- machine learning pdfs
LS-SVMLab-v1.7(R2006a-R2009a)
- 支持向量机SVM(Support Vector Machine)它在解决小样本、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-Support Vector Machine SVM (Support Vector Machine) it addresses the small sample, nonlinear and high dimensional pattern recognition performance of many unique adva