直推式支持向量机(TSVM),Transductive support vector machine(TSVM)
1)Transductive support vector machine(TSVM)直推式支持向量机(TSVM)
2)Progressive Transductive Support Vector Machine(PTSVM)渐进直推式支持向量机
1.Progressive Transductive Support Vector Machine(PTSVM) has some drawbacks such as slower training speed and unstable learning performance.针对渐进直推式支持向量机算法训练速度慢和学习性能不稳定的问题,提出一种近邻渐进直推式支持向量机算法。
英文短句/例句

1.Fast learning algorithm with progressive transductive support vector machine一种快速的渐进直推式支持向量机分类学习算法
2.A Kind of Transductive Inference WEB Data Mine Based on Support Vector Machine;一种基于支持向量机的直推式WEB挖掘
3.Web information extraction based on Transductive Support Vector Ma-chine直推式支持向量机在Web信息抽取中的应用研究
4.Research and Application of Image Classification Based on Transductive Support Vector Machines;基于直推式支持向量机的图像分类算法研究与应用
5.A Simple Deduction for SMO Algorithm of Support Vector Machines支持向量机序贯最小优化算法推导的改进
6.Recursive training algorithm for one-class support vector machine based on active set method基于作用集的一类支持向量机递推式训练算法
7.China has advocated a measured transition.中国支持渐进式改革。
8.Improved polynomial SVM classifier for text categorization一种改进的多项式核支持向量机文本分类器
9.Pattern Recognition of Oil and Gas Reservoirs Based on Grey Support Vector Machine用灰色支持向量机进行储层油气、水模式识别
10.Support Vector Machine( SVMs) have become an popular tool for machine learning task.支持向量机逐渐成为机器学习的一种方法。
11.Modeling for Landing Process of Helicopter with Rotator Self-rotating Based on Modified SMO Algorithm of Support Vector Machine基于支持向量机改进SMO算法的直升机旋翼自转着陆过程建模
12.SVM Generalization Performance Measuring Model Based on Geometry Analysis基于几何分析的支持向量机推广能力推测模型
13.A Study on the Application of Support Vector Machine in Advanced Control;支持向量机在先进控制中的应用研究
14.A Study on Evolutionary Support Vector Machine Based on Genetic Algorithm;基于遗传算法的进化支持向量机研究
15.Classification of Rock Mass with Genetic-Support Vector Machine;岩体分级的进化支持向量机方法研究
16.Currency Recognition Based on Improved Support Vector Machine基于改进支持向量机的货币识别研究
17.Improvement upon Algorithm for Training Set Selection of Support Vector Machine一种支持向量机训练集选取算法改进
18.Improved Multiclass Classification Methods for Support Vector Machine一种改进的支持向量机多类分类方法
相关短句/例句

Progressive Transductive Support Vector Machine(PTSVM)渐进直推式支持向量机
1.Progressive Transductive Support Vector Machine(PTSVM) has some drawbacks such as slower training speed and unstable learning performance.针对渐进直推式支持向量机算法训练速度慢和学习性能不稳定的问题,提出一种近邻渐进直推式支持向量机算法。
3)Transductive support vector machine直推式支持向量机
1.Transductive support vector machines (TSVM) classifies the new data vector based on the information only related to this data vector.直推式支持向量机(TSVM)是一种直接从已知样本出发对特定的未知样本进行识别和分类的技术。
4)Progressive Tranductive Support Vector Machines渐进直推支持向量机
1.Even thought the learning ability in Progressive Tranductive Support Vector Machines may be independent of the dimensionality of feature space,reducing dimensionality is an essential issue to efficiently handle large-scale terms in practical applications of text classification.在渐进直推支持向量机中,合理的降维在很大程度上可以提高分类的性能和降低计算的复杂度。
5)transductive support tensor machine (TSTM)直推式支持张量机
6)direct support vector machine直接支持向量机
延伸阅读

支持向量机方法支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法,通过寻求结构化风险最小来提高学习机泛化能力,实现经验风险和置信范围的最小化,从而达到在统计样本量较少的情况下,亦能获得良好统计规律的目的。支持向量机算法是一个凸二次优化问题,能够保证找到的极值解就是全局最优解,是神经网络领域域取得的一项重大突破。与神经网络相比,它的优点是训练算法中不存在局部极小值问题,可以自动设计模型复杂度(例如隐层节点数),不存在维数灾难问题,泛化能力强。