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- transductive SVM 直推式支持向量机
- Firstly, the principle of MADM based on SVM is discussed. 首先,分析了多属性决策支持向量机方法的原理。
- Then, the implementation algorithm of MADM using SVM is presented. 然后,提出了多属性决策支持向量机方法的实现算法。
- Fuzzy Hypersphere SVM algorithm is presented in the paper. 提出了模糊超球支持向量机算法。
- Facial feature selection method based on SVM RFE[J]. 引用该论文 李伟红;龚卫国;陈伟民;梁毅雄;尹克重.
- The multiclass SVM methods based on binary tree are proposed. 摘要提出一种新的基于二叉树结构的支持向量(SVM)多类分类算法。
- The future research direction of SVM learning algorithms were proposed. 最后指出了学习算法的研究方向。
- Firstly, the algorithm of SVM in regression approximation is introduced. 首先,介绍了支持向量回归估计的学习算法。
- BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM. 球向量机是一种比SVM更快的机器学习方法。
- Two SVM classifying methods are given: multiclass method and two-layer method. 首先设计了两种基于支持向量机的守门员决策系统的态势分类方法:多类法和两层法。
- Firstly,the algorithm of SVM in regression approximation is introduced. 首先,介绍了支持向量回归估计的学习算法。
- This is the paper in which the relation between SVM and BPD is studied. 文章中讨论支持向量机与基础追踪去杂讯法之间的关系。
- First,it segments the image using SVM,then detects the traffic sig... 实验结果表明,该方法鲁棒性好、检测准确率高。
- The results show that the SVM performance by using mixtures of kerne... 结果表明其性能明显优于由普通核函数构造的支持向量机。
- Moreover, the internal cellular Ca 2+ could act as a second messenger to transduct the drought signal, and regulate the physiological responses induced by drought stress. 此外 ,细胞内Ca2 +可作为第二信使传递干旱信号 ,调节干旱胁迫导致的生理反应。
- The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well. 详细说明:支持向量机分类器(可分类文本,编的非常不错)
- The result of study indicates that SVM has the strong ability of classification to P300 EEG signal, and has promoted the development of BCI. 研究结果表明,支持向量机对P300脑电信号有很强的分类能力,促进了脑机接口的发展。
- At first, extracting features of chromaticity moments was done, then classification method of SVM for recognition of plant disease was discussed. 首先利用色度矩提取植物病害叶片的特徵向量,然后利用支持向量机分类方法进行病害的识别。
- The algorithm 3 SAO based on SMO is designed for improving the speed of the training in SVM. 为了进一步提高SVM的训练速度,本文在分析现有训练算法的基础上提出了三元序贯解析优化(3SAO)训练算法。
- A fast SVM training algorithm based on boundary samples selection is proposed (BSS-SVM). 根据SVM的分类判决面仅由支持向量决定的特点,提出了基于边界样本选择的快速SVM学习算法(BSS-SVM)。