搜索资源列表
dtsl_pass
- 自主式决策树学习的程序源码,对研究机器学习的同行很有用。-Autonomous Decision Tree learning procedures source, the study machine learning peer useful.
machie_study
- 机器学习及人工智能中的多层感机的算法,可识别复杂的二维点阵图形,在实际的模式识别中很有参考价值。-Machine study for arithmetic multi-layer perceptron, it can recognize 2D dot matric graph, it is a good reference for pattern recognition
NN_GA
- 人工智能及神经网络的机器学习算法,经典的遗传算法,在实际中可以解决选路问题及最短路径问题。-machine study algrithm for artificial intelligence and neural network, it can solve the problem of shortest route
ga_and_hopfield
- 机器学习及神经网络的算法,具体解决经典的HOPFIELD模型,在TSP问题中可以加速解的收和快速求解。-arithmetic for machine learning and neural net,mostly for HOPFIELD modal of TSP problem
alemoNEW
- 机器学习课要求编写3*3棋盘对弈程序。 该程序中一个对弈者通过神经网络方式实现 另一个通过机器学习的方式加以改进-3*3 chessboard vs program.One player is implement by neural net ,the other is implement by machine learning.
Libsvm-2_6
- 一个用于支持向量机以及机器学习的软件机器源代码-a support vector machine, and machine learning software source code machine
RL_Toolbox_Windows_Source_20b
- 这个是机器学习的一种算法的强化学习的工具箱. 请您用winzip解压缩-this is a machine learning algorithm toolbox of reinforcement learning. Please use winzip decompress
weka-3-3-5
- own Java code. WEKA 是一个机器学习运算法则,它是为解决真实世界中的数据问题。它用java写成并且几乎可以在任何平台上运行。运算法则能够被直接应用到数据集上或者从你自己的java 码中调用。-own Java code. WEKA is a machine learning algorithms, it is to solve the real-world data. Using java can be written
MLearningLecture
- 机器学习及其挑战,内容包括:机器学习及其重要性;机器学习角色的转变;五个挑战问题。研究机器学习的兄弟们要看看了。-machine learning and its challenges, including : machine learning and its importance; Machine learning the changing roles; five challenges. The study machine learn
Machine_Learning_Tom_M.Michell
- 一些机器学习的文档.有贝叶斯,决策树,ga,ann,规则学习,增强学习等ppt介绍文档-some machine learning documents. A Bayesian, decision tree, ga, ann, rule learning, to enhance learning ppt documents introduced
machine_learning_related
- svm-space vector machine,由于人工智能中的机器学习时的测试和训练-svm-space vector machine, As AI machine learning the test and training
weka402
- < 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等.-<Data mining- practical machine learning technology a
yichuansuanfacankao
- 遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法,它借 用了生物遗传学的观点,通过自然选择、遗传、变异等作用机制,实现各个个体的适应性 的提高。这一点体现了自然界中"物竞天择、适者生存"进化过程。1962年Holland教授首次 提出了GA算法的思想,从而吸引了大批的研究者,迅速推广到优化、搜索、机器学习等方 面,并奠定了坚实的理论基础。 用遗传算法解决问题时,首先要对待解决
DecisionTree
- 机器学习的经典算法,非常利于学习机器学习这门课程。 -classical machine learning algorithm, is very conducive to learning machine learning this course.
emgmm
- EM算法估计GMM的matlab版本的源代码,适合给类机器学习问题-EM algorithm estimates GMM Matlab version of the source code, suitable for the type of machine learning problems
LearnSCp
- 一个机器学习算法软件包,包括神经网络,模糊逻辑,支持向量机,采用MATLAB平台实现,-a machine learning algorithm packages, including neural networks, fuzzy logic, support vector machine, MATLAB platform.
jiyuneirongdetuxiangjiansuo
- 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; Tex
ManifoldLearn
- 一个包含丰富内容的流形学习算法工具包,有图形示例文件demo.fig,包括laplacian特征映射算法、流形规则调整、svm分类算法等内容,希望对研究机器学习的朋友有用。-contains a rich content of the manifold learning algorithm tool kit, graphics documents demo.fig example, laplacian features include
Machine_learning
- Machine Learning with WEKA: An Introduction (讲义) 关于数据挖掘和机器学习的.-Machine Learning with WEKA : An Introduction (s) on the Data Mining and Machine Learning.
CodesAndMLPaper
- 包括一篇国外关于机器学习的文章和一些数据结构与算法的代码-abroad, including a study on the machinery of the article and some data structure and algorithm code