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[Other] onlineSVM

Description: 一种在线SVM的实现，通过样本的取舍，我们可以将SVM运用动态建模当中（得有SVM工具箱的支持），该源码中包含有SVM工具箱和在线SVM的源程序-an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code contains SVM toolbox and online source SVM
Platform: | Size: 161782 | Author: 生月 | Hits:

[Other] onlineSVM

Description: 一种在线SVM的实现，通过样本的取舍，我们可以将SVM运用动态建模当中（得有SVM工具箱的支持），该源码中包含有SVM工具箱和在线SVM的源程序-an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code contains SVM toolbox and online source SVM
Platform: | Size: 161792 | Author: 生月 | Hits:

[Windows Develop] SVM_smo_C++

Description: 这个smo程序是我在这个网上下的，我添加了一些注释和用于处理的数据。-This procedure is smo I, in this online, I added some comments, and for processing data.
Platform: | Size: 22528 | Author: Azarm | Hits:

[Other] a_realtime_ids_system_based_on_one_class_svm

Description: 采用one-class svm进行入侵检测的文章，比较简洁，采用online训练的方法-Using one-class svm for intrusion detection articles, more concise, using online method of training
Platform: | Size: 99328 | Author: Yrf | Hits:

[GDI-Bitmap] SVM

Description: 在草图符号的自适应学习中，不同用户的训练样本数量可能不同，保持在不同样本数量下良好的学习效 果成为需要解决的一个重要问题．提出一种自适应的草图符号识别方法，该方法采用与训练样本个数相关的分类 器组合策略将模板匹配方法和SVM统计分类方法进行了高效组合．它通过利用支持小样本学习的模板匹配方法 和支持大量样本学习的SVM 方法，并同时利用草图符号中的在线信息和离线信息，实现了不同样本个数下自适应 的符号学习和识别．基于该方法，文中设计并实现了支持自适应识别的草图符号组件．最后，利用扩展的PIBG Toolkit开发出原型系统IdeaNote．评估表明，该方法可以在24类草图符号分别使用1到2O个训练样本时具有较 高的识别正确率和较好的时间性能．-In the sketch symbol adaptive learning, the number of training samples of different users may be different, to keep the number of samples under different good learning effect Fruit become an important issue to be resolved. The draft plan proposed an adaptive character recognition method using the number associated with the classification of training samples Combination strategy will be the template matching method and SVM classification method was efficient statistical combination. It supports a small sample study by using a template matching method And support a large number of samples to learn the SVM method, and sketch symbols while using online information and offline information and achieve a number of different samples of adaptive Learning and recognition of symbols. Based on this method, the paper designed and implemented to support adaptive sketch recognition symbol components. Finally, using the extended PIBG Toolkit developed a prototype system IdeaNote. Is shown th
Platform: | Size: 626688 | Author: 郭事业 | Hits:

[AI-NN-PR] ReviewofSVM-basedControlandOnlineTrainingAlgorithm

Description: 支持向量机以其模型结构简单、较好的推广能力和全局最优解等特点已经被用来进行智能 控制的研究，主要包括采用支持向量机回归的非线性时间序列的建模与预测、系统辨识等建模方 面的研究以及优化控制、学习控制和预测控制等方面的研究以及采用支持向量机的故障诊断的研 究。由于现有SVMR基于二次规划的优化方法不适合控制过程的在线训练，因此出现了对SVMR 在线训练算法的研究。分析了国内外这些研究内容的最新研究进展，旨在探讨归纳支持向量机在控 制领域研究的主要成果和存在的问题，以便为进一步的研究提供一定的支持与帮助-Abstract:The support vector machines,which characterizes a simple model structure,good generalization,global optimal solution etc.,has been applied in the intelligent control.The current research includes SVMR modeling and prediction of nonlinear times serial,system identification,optimal control,learning control,predict control etc.,and SVM-based fault diagnosis.Since SVMR based on the quadratic programming unfits for the online training of control,the current research includes the online training of SVMR.The latest development of those contents in the domestic and overseas research were analyzed,and the main achievements and problems in SVMR control were summed up in order to provide some support and help for the further research.
Platform: | Size: 533504 | Author: alice | Hits:

[AI-NN-PR] lasvm-source-1.1.tar

Description: LASVM is an approximate SVM solver that uses online approximation. It reaches accuracies similar to that of a real SVM after performing a single sequential pass through the training examples.
Platform: | Size: 20480 | Author: DS | Hits:

[matlab] dogma

Description: DOGMA是一个关于在线学习的工具箱，里面很多算法十分实用，包括OISVM(online independent SVM).-DOGMA is a useful online learning alogrithm by matlab code. It includes a lot of useful alogrithm, including Online independent SVM(OISVM)
Platform: | Size: 101376 | Author: hudi | Hits:

[matlab] osvm

Description: matlab codes for online SVM
Platform: | Size: 151552 | Author: Kechang Fu | Hits:

[Mathimatics-Numerical algorithms] incremental-learning-for-SVM

Description: 一种基于matlab自带SVMtrain模型训练函数的在线SVM增量学习方法代码。-online incremental learning for SVM
Platform: | Size: 69632 | Author: Ron | Hits:

[matlab] incremental-svm

Description: 增量SVM的实例，用于对手势的在线增量学习，有很详细的源码，并实现了SVM的多分类问题，对于模式识别和学习SVM有很大的帮助-Instance of the incremental SVM for gesture online incremental learning, there is a very detailed source, and to achieve a multi-SVM classification, pattern recognition and learning SVM great help
Platform: | Size: 92160 | Author: 张灿淋 | Hits:

[Data structs] dynamicsvm

Description: 动态SVM算法，可实现模型的在线实时更新，里面的数据需要根据自己的实际数据改变，为一多输入单输出的拟合预测模型。-Dynamic SVM algorithm can achieve real-time updates online model, the data inside the data according to their actual needs change, fitting prediction model is a multi-input single-output.
Platform: | Size: 8192 | Author: 范振东 | Hits:

[matlab] StandardSVM

Description: 通过阅读文献资料，参考网上的程序，通过Matlab编写的标准支持向量机的程序，可以用于跟最小二乘SVM作对比,数据源是一个data.mat的文件，这里以压缩包的形式上传。-By reading literature, online reference procedures, standards prepared by Matlab SVM procedures can be used for comparison with the least squares, the data source is a data.mat files compressed form here to upload.
Platform: | Size: 84992 | Author: 刘贺朋 | Hits:

[File Format] SVMTutorial

Description: In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to talk as why SVM, with a brief overview of statistical learning theory. The mathematical formulation of SVM is presented, and theory for the implementation of SVM is briefly discussed. Finally some conclusions on SVM and application areas are included. Support Vector Machines (SVMs) are competing with Neural Networks as tools for solving pattern recognition problems. This tutorial assumes you are familiar with concepts of Linear Algebra, real analysis and also understand the working of neural networks and have some background in AI.-In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to talk as why SVM, with a brief overview of statistical learning theory. The mathematical formulation of SVM is presented, and theory for the implementation of SVM is briefly discussed. Finally some conclusions on SVM and application areas are included. Support Vector Machines (SVMs) are competing with Neural Networks as tools for solving pattern recognition problems. This tutorial assumes you are familiar with concepts of Linear Algebra, real analysis and also understand the working of neural networks and have some background in AI.
Platform: | Size: 689152 | Author: Faiza | Hits:

[Other resource] matlab

Description: 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
Platform: | Size: 165888 | Author: 程瑶 | Hits:

[AI-NN-PR] onlinesvm

Description: 用c编译的online svm适合大数据快速学习的分类器，对内存要求较低，适合数据量大的数据。-C compiled with online svm suitable for large data quickly learning classifiers, low memory requirements for large amount of data.
Platform: | Size: 53248 | Author: 杨杨 | Hits:

[AI-NN-PR] SVM_REGRESSION

Description: 这段时间自己在学机器学习相关的内容，其中用到了SVM回归。我采用的libSVM.网上论坛和博客已经有其相当详细的介绍，但是操作步骤比较多，且要下载的文件也比较多。之后我把应该要具有的svm文件整理在一个文件夹中，并把相关教程，和自己的操作经验一并打包在此分享。有些文件是自己编写的，用来转换libsvm数据格式，其他的都在相应的文件夹下可以找到，我自己的实验数据和图也在其中。记住，gridregression.py使用时要内部改路径。我的是64位系统 - This time I learning machine learning related content, which USES the SVM regression. I use libSVM. Online BBS and blogs have the quite detailed introduction, but more of the process, and also more to download the file. After I put the should have the SVM papers in a folder, and the related tutorials, and share his experiences along with all the packaging in this. Some files are writing your own, which is used to convert libsvm data format, the rest can be found in the corresponding folder, my own experimental data and figure among them. Remember, gridregression. Py when using internal to change path. I was a 64- bit system
Platform: | Size: 28762112 | Author: 马也 | Hits:

[matlab] Action-recognition-code

Description: 毕业设计所做工作，EI会议已经accept预计9月online的视频中人行为识别论文的matlab代码，分类器采用SVM。需要论文原文可发邮件至jycwinner@163.com。-Human action recognition matlab code. The classifier is Support Vector Machine.
Platform: | Size: 33792 | Author: Yongcheng Jing | Hits:

[matlab] machine-learning-ex2-8

Description: 斯坦福机器学习网上公开课相关编程练习代码，包括线性回归，逻辑回归，神经网络，PCA,SVM等。-the programming code of online course Mechine Learning provided by Stanford.
Platform: | Size: 44634112 | Author: 张杰 | Hits:

[Other] MSVM

Description: multiclass svm implemented code from online
Platform: | Size: 7421952 | Author: janmarch | Hits:

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