搜索资源列表
Probability-Density-Estimation
- 是有关机器学习中讲密度估计的好资料,自己找了很久才找到的,国外人写的很容易懂,乐意分享-Machine learning is related to good information about density estimation, for a long time to find your own, and foreign people to write easy to understand, are willing to share
LDA
- 线性判别分析(LDA)用于特征选择,可以对数据集或者图像提取有用特征,用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
machineLearningPPT
- 机器学习,完整PPT资料从引言到神经网络,贝叶斯学习,遗传算法等-machine learning PPT,bayesian learning, neural network and genetic algorithm
ReinforcementLearning
- 增强学习Matlab源吗,对机器学习,在线控制的人有所帮助-Matlab source you enhance the learning of machine learning, online help people control
gentleboost
- Gentleboost,这是一种基于信息融合的机器学习源代码,成功应用于多个工程信息领域。-Gentleboost, which is a fusion-based machine learning source code, successfully applied in various projects in the field of information.
rosetta-1[1].0.1
- ROSETTA C++库是一个C++类库和例程集合,支持基于可识别性的经验建模和数据挖掘。它由许多用于通用机器学习和粗糙集理论的例程组成。 -ROSETTA the C storehouse is a C kind of storehouse and the example regulation set, supports based on 鍙
Bayesian-machine-learn-data-mining
- 贝叶斯(Bayesion)机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
SNoW_v3.2.1.tar
- 基于稀疏网络的精选机器学习模型,相比SVM有更快和更精确的学习效果。-Selected based on the sparse network machine learning model, compared with SVM are faster and more accurate learning.
SVM
- VC++实现的SVM的算法实现,应用于机器学习的好方法.-VC to achieve the SVM algorithm, used in a good way of machine learning.
libadaboost-0.1.beta
- 机器学习的自适应提升(adaboost)算法包,提供了学习boosting算法的通用框架,包括:学习、验证、测试、性能分析等 -Machine learning to enhance the adaptive (adaboost) algorithm package, boosting learning algorithm provides a generic framework, including: learning, validation, testing, performance ana
SGA
- 基本遗传算法的C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 C language source code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, combinatorial
Classification_toolbox
- 机器学习所有源码, 机器学习所有源码,机器学习所有源码-All-source machine learning, machine learning all the source code, machine learning for all source
maxent-2.5.1
- 最大熵分类器,实现对文本的分类,很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
GraphDemos
- 一个Matlab写的关于图理论以及其在机器学习中应用的教学用GUI软件-Write a Matlab on graph theory and its application in machine learning in the teaching GUI software
fuzzylogicMATLAB
- 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 package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
lda
- 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
rbf_svm
- 人工神经网络(ANN)的泛化特性是神经网络最重要的特性,同时也是最不容易保证的特性。本程序对改进泛化的神经网络算法以及新兴的机器学习算法——支持向量机算法进行研究,-Artificial Neural Network (ANN) the generalization characteristics of neural networks are the most important characteristics, but also not easy to guarantee the most f
svmclass
- 采用经典的机器学习分类算法SVM,对训练样本进行训练和学习,来实现对预定目标的分类。-Using the classic machine learning classification algorithm SVM, the training samples for training and study to achieve the intended target of the classification.
Boosting_tutorial
- Schapire 所著的Boosting算法的教程。 对目前物体识别和机器学习领域中广泛应用的Boosting算法展开了深入浅出的描述,还有很多Toy Examples。-Tutorial for Boosting algorithm by Schapire
MachineLearningMaterials
- 机器学习讲义机器学习很好的材料内容很全面-Machine Learning Machine Learning Materials Materials is very good all-round