搜索资源列表
SVM-Research
- 支持向量机的初步实现，运用支持向量机实现了数据分类与拟合。-The initial implementation of support vector machines, the use of support vector machine classification and to achieve a data fit.
meanS3VM
- MissSVM是一揽子解决多实例使用半监督支持向量机的学习问题。MissSVM目的是显示，如果假设IID实例，多实例学习可以作为一个半监督学习的特殊情况来看，可能会合并成半的领域和多实例学习领域监督学习。 因此，未来的多实例学习研究应只承担IID袋，避免IID实例假设。 -MissSVM package solution is to use multi-instance semi-supervised support vector machine learning problems. MissS
SVM1107
- 基于支持向量机算法的分类程序，matlab实现。-Algorithm based on support vector machine classification procedures, matlab implementation.
svm_v0.56beta
- 一款很好的支持向量机例程，包括一对一，一对多，DAGSVM。-A good support vector machine routines, including one to one, many, DAGSVM.
sum1all
- 基于小波和支持向量机的电能质量监测分类算法例程-Based on wavelet and support vector machine classification algorithm routine power quality monitoring
lssvm1.8-User-Guide
- 最小二乘支持向量机1.8 使用指南，官方版本，与1.7有很大改动-1.8 using least squares support vector machine guidance, the official version, with great changes in 1.7
nonlinear(exp)_FLSSVM
- 基于模糊的最小二乘支持向量机，可用于分类，效果较好。-Fuzzy least squares support vector machine can be used for classification, the effect is better.
SVM
- A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
A-hybrid-least-squares
- A hybrid least squares support vector machines and GMDH approach for river fl ow forecasting-This paper proposes a novel hybrid forecasting model, which combines the group method of data handling (GMDH) and the least squares supp
Adaptive-Embedding-Dimension
- 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
Xinying_Ph.D.thesis
- SUPPORT VECTOR MACHINE IN CHAOTIC HYDROLOGICAL TIME SERIES FORECASTING 支持向量机混沌时间序列预测-This research attempts to demonstrate the promising applications of a relatively new machine learning tool, support vector machine, on chaotic hyd
Machines-Based-on-DFS
- 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
adaptive-genetic-algorithm
- 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based on adaptive genetic algorithm 支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但 是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果, 而且采用人工的方法选择 SVM 参数比较浪费
svr
- 一个支持向量回归机的应用！很适合初学者用来做预测！-A support vector regression machine application!Is suitable for beginners to make the forecast!
lssvmMATLAB
- 本程序使用支持向量机法和粒子群算法，实现对数据的分类-This program uses support vector machine method and particle swarm optimization, to achieve the classification of data
pattern-recognition
- 模式识别课件，神经网络，支持向量机，内容很经典-Courseware pattern recognition, neural networks, support vector machine, which is very classic
LS-SVMlab-GA
- 用遗传算法优化的最小二乘支持向量机，简单易用，可移植性强，通用性好，程序特别的全。-Using genetic algorithm least squares support vector machine, easy to use, portability, common good, especially the whole program.
zhichixiangliangji
- 一款支持向量机的系列小程序，希望对大家有用吧-A series of small support vector machine program, we hope to be useful it. .
psosvm
- 一种利用稻田算法来优化支持向量机的程序，能实现支持向量机的参数优化-algorithm Using a paddy field to optimization support vector machine procedure, can realize the support vector machine parameters optimization
Tri-traing-by-myself
- 一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练-A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training