搜索资源列表
wind-speed-prediction
- 基于支持向量机的风速预测模型研究，即SVM,是一篇非常有用的论文-Wind speed prediction model based on support vector machine SVM, is a very useful paper
kg_SVD
- 有關於奇異值分解在特徵提取上的應用的簡介-The SVM Neural Networks data classification to predict the contents of the first part of a chapter
4-con-sig-ep
- it is a program for classification SVM
Classificationofhyper_magebasedonBEMD
- Abstract : As a powerful tool for image processing ，bi-dimensional empirical mode decomposition ( BEMD) covers a wide range of applications． In this paper ，we explore a novel hyperspectral classification algorithm which integrates BEMD and s
SVMkind
- 这是svm分类算法原理，内容简单，适合初学者，值得参考下载！-This is the principle of svm classification algorithm, the content is simple, suitable for beginners, and worth considering download!
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method
libsvm
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用，该文本为其说明文件-The LIBSVM Taiwan University Chih- Jen Lin (Lin Chih-Jen) associate development and design of a simple, easy to use
libsvm-3.17.tar
- 该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。-The software adjust the parameters of SVM involved is relatively small, a lot of the default parameters, these default parameters can solve many problems cross-validatio
MLI_vectorielle
- SVM to control inverter , used emded matlab and smilink.
MLI_vectorielleplus
- SVM to control inverter , used emded matlab and smilink plus.
HOG
- 基于梯度方向直方图( H OG) 特征的行人检测是目前检测精度较高的主流方法。针对基于梯度直方图特征的 行人检测存在检测精度还有待提高、向量维数大的问题, 提出使用梯度直方图统计特征加颜色频率和肤色特征描述行 人, 选取一些分类能力较强的block 作为最后的特征, 使用线性SVM 分类。在INRIA 库上的实验证明, 该方法能有效地 提高检测精度。-H istog r am o f or iented g radient( H OG) based on pedestr ian de
matlab
- 适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
SVMTrain
- SVM train recogination
MachineLearning
- 机器学习的十大算法，AdaBoost，Apriori，CART，EM，K-means，kNN，PageRank，SVM-Ten machine learning algorithms, AdaBoost, Apriori, CART, EM, K-means, kNN, PageRank, SVM
regress-and-predict
- 基于svm的一维信号的回归预测，精确度优于传统的神经网络方法-The one-dimensional signal based svm regression prediction accuracy is better than traditional neural network method
A-New-Boosting-Multi-class-SVM-Algorithm
- This article discuss a new algorithm for boosting Multi_class support vector machine and demonstrate the experimental result based on developing this algorithm.
SVM
- 深度学习中关于向量机支持向量机（即一种分类器）的相关内容-Depth study on vector machines support vector machine (that is, a classifier) related content
sv-memo
- Support Vector Machines Training and Applications-The Support Vector Machine SVM is a new and very promising classication technique developed by Vapnik and his group at ATT Bell Laboratories This new learning algorithm can
ND-Flevoland_label
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
EFFECTIVENESS-OF-SUPPORT-VECTOR-MACHINE-FOR-CRIME
- Crime hot-spot location prediction is important for public safety. The output from the prediction can provide useful information to improve the activities aimed at detecting and preventing safety and security problems. Location prediction is a sp