搜索资源列表
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
jqagent
- 多Agent系统的理论与技术，为分布式开放系统的分析、设计和实现提供了一条崭新的途径。然而随着相关领域高新技术的迅猛发展，多Agent系统的运行环境日益趋于大型、开放、动态和不确定，迫切需要采用各种智能技术来构建具有自学习能力的Agent，为多Agent系统引入学习机制使其更好地适应复杂环境，从而导致了多Agent系统学习这一新兴研究领域的产生和迅速发展。多Agent系统学习包括采用机器学习等方法从积累的信息或数据中学习用于支持决策的知识，以及为建立多Agent协作、协调和竞争等机制而进行的对
ada_2.0-1
- Adaboost，一种很流行的机器学习算法。用matlab实现的。-Adaboost, a very popular machine learning algorithm. Achieved using matlab.
Machine_Learning_Tom_M.Michell
- 一些较好的机器学习讲义，里面有最新的信息！要好好看哦！-Machine learning some good notes, which have the latest information!
jqxx_2006_2
- 机器学习讲义，初学者推荐使用！这是第二部分。-Machine learning lectures, recommended for beginners! This is the second part.