Description: 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and regression analysis, integrated software Oh! Platform: |
Size: 8547984 |
Author:XIAO |
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Description: 这个大家应该很熟悉了吧,很好支持向量机工具箱,matlab编写,欢迎大家下载!-everyone should be very familiar with it by now, a good support vector machines Toolbox, Matlab prepared to welcome you to download! Platform: |
Size: 796441 |
Author:离岗 |
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Description: 模式识别中的支撑向量机,可用于人脸识别训练!-pattern recognition of Support Vector Machines can be used for face recognition training! Platform: |
Size: 447834 |
Author:付波 |
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Description: 基于SMO算法的支持向量机，内有详细的注释说明，非常不错的源程序,采用Viusal .Net编写
-SMO algorithm based on support vector machines, which have detailed explanatory notes, a very good source, using deadly. Net prepared Platform: |
Size: 14920 |
Author:hu |
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Description: 高性能文档分类算法，支持向量机方法，有需要者请便。-document classification algorithm performance, support vector machines, there are those in need, please yourself. Platform: |
Size: 9224 |
Author:新文化 |
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Description: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
Size: 30287 |
Author:Mountain |
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Description: The program performs alpha seeding within LIBSVM Solvers. Please refer to:
D. DeCoste and K. Wagstaff, \"Alpha Seeding for Support Vector Machines for the meaning of alpha seeding\".
-alpha seeding within LIBSVM Solvers. Please refer to : D. DeCoste and K. Wagstaff, "Alpha Seeding for Support Vector Machines for the meaning of alpha seeding. " Platform: |
Size: 22502 |
Author:Mountain |
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Description: 支持向量机，用于分类，含训练集与测试集。里面含有六个源程序-support vector machines for the classification, with the training set and test sets. It contains six source Platform: |
Size: 4579 |
Author:sss |
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Description: 支持向量机的MATLAB实现，能自动完成数据的分类功能。-MATLAB support vector machines to achieve, can auto-complete the classification of functional data. Platform: |
Size: 11264 |
Author:li ming |
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Description: 基于支持向量机的时间序列工具箱，用svm作时间序列预测-Based on support vector machines time series toolbox for time series prediction using svm Platform: |
Size: 126976 |
Author:sunyzy |
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Description: 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。
RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点：
(1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布.
(2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间.
(3) RVM不需要估计过多的参数.
(4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好.
-Relevance Vector Machine (RVM) of the matlab source code, including the fast algorithm that contains the code instructions. RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification. Advantages: (1) The goal is not only the amount of the output forecast point estimates, but also the distribution of the output forecast. (2) use less number of support vectors, thus significantly reduce the amount of predictive value of the output goal of computing time. (3) RVM does not require too many parameters estimated. (4) RVM on whether to satisfy Mercer' s theorem is no limit on nuclear function, adaptability and better. Platform: |
Size: 157696 |
Author:何创新 |
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Description: lssvm即最小二乘向量机，可以处理有关lssvm的相关问题- lssvm, the least squares vector machines, can handle issues related to the lssvm Platform: |
Size: 1196032 |
Author:xiaoxiongaa |
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Description: 深度优先搜索的支持向量机参数优化算法
Study on Parameters Optimization of Support
Vector Machines Based on DFS
:研究支持向量机参数优化问题，由于算法要求准确选择 SVM 参数，支持向量机在处理大样本数据集时和最优模型参
数确定时，消耗的时间长、占有内存大，易获得局部最优解的难题。为了解决支持向量机存在的不足，采用深度优先搜索算
法对其参数优化机机制进行改进。将向量机参数优化视成一个组合优化问题，将支持向量机模型的分类误差作为优化目标
函数，采用深度优先算法对其进行求解，最后将模型应用于 3 个标准分类数据集。仿真结果表明，优化参数后的支持向量机
加快模型的训练速度度，提高了分类的准确率，很好的解决- Study on the problems of support vector machines parameters optimization． The prediction precision of
Support vector machines model and generalization ability depend on its parameters reasonable choice． The problems of
time － consuming and easy falling into the local optimal value exist in traditional support vector machine parameters
optimization algorithm，and support vector machine prediction precision is low． In order to solve the problems，the
paper puts forward a method based on depth first search of SVM parameters optimization method ( DFS － SVM) ． DFS
－ SVM takes SVM parameters optimization as a combinatorial optimization problem and the RMSE as optimization
goal，uses depth first search to select SVM parameters，and tests DFS － SVM performaces through three standard data
set． Simulation experiment results show that the DFS － SVM prediction accuracy is improved and the training time is
shorten greatly． It provides a new effective solution for SVM parameters optimizat Platform: |
Size: 259072 |
Author: |
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Description: 支持向量机模型研究及应用，本文所做的工作主要在如下几个方面：
1)运用模糊集理论(FST)和概率理论对支持向量机进行研究，构造出了概率模糊支
持向量机(PFSVM)模型，既达到了减少或者消除外围异样点对于整个训练模型的影响，-Support vector machine model and application, this work mainly in the following aspects: 1) the use of fuzzy set theory (FST) and the probability theory of support vector machines, constructed out of the probabilistic fuzzy support vector machine (PFSVM) model, not only to reduce or eliminate abnormal points outside the training model for the effects of Platform: |
Size: 2335744 |
Author:ww1 |
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Description: 支持向量机（SVM）的实现代码和步骤，共包括五个步骤，每一步都有详细的说明。-Support Vector Machine (SVM) implementation code and procedures, including a total of five steps, each step in detail. Platform: |
Size: 1024 |
Author:陈彬彬 |
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Search - support vector machines