1) weighed unlabeled sample support vector machine(WUS-SVM)
基于加权无标识样本的支撑向量机
2) WSVDD
样本错误加权的支持向量数据描述
3) identify-based encryption
基于标识的加密
4) weighted support vector machine
加权支持向量机
1.
Forecasting of the urban registered unemployment rate in Fujian province based on kernel principal component analysis and weighted support vector machine
基于核主成分与加权支持向量机的福建省城镇登记失业率预测
2.
The prediction model using the weighted support vector machine was proposed considering the factors which had relations with the global production indices.
以某选矿厂为实际背景,在分析了指标之间关系的基础上,采用加权支持向量机建立了相关指标的预报模型,并通过构造重要性函数的方法确定了支持向量机加权系数,最后利用该厂历史数据进行了仿真实验。
3.
So a new hybrid prediction model based on PCA and weighted support vector machine(WSVM) is proposed.
针对网络化制造资源配置受多因素影响,变化趋势复杂,难以用单一预测方法进行有效预测的问题,提出一种新的基于主成分分析和加权支持向量机的智能混合预测模型。
5) weighted support vector machines
加权支持向量机
1.
Using the high generaliza-tion ability of support vector machines (SVMs) and the idea of locally weighted learning (LWL) algorithm, this paper proposes a novel learning algorithm named weighted support vector machines (W_ SVMs) which is suitable for local le.
本文利用支持向量机(SVMs)泛化能力强的特点,结合局部加权学习(LWL)算法思想,提出一种适于局部学习的加权支持向量机(W-SVMs)学习算法和基于这种算法的移动建模方法。
2.
To deal with the common unbalanced problem in ABC inventory classification,this paper analyzed the limitation of general support vector machines and proposed a method of muhicriteria classification of inventories based on weighted support vector machines(W-SVM),which introduced weight factor for each class to compensate the bias towards class with large size of samples by unbalanced training set.
针对 ABC 库存分类中存在的样本类别不平衡问题,提出了一种基于加权支持向量机的多准则库存分类方法,通过引入类权重因子来解决由于训练集中的类别差异引起的分类结果偏向多样本类的问题。
6) support vector machine
支撑向量机
1.
Novel wellbore trajectory prediction method based on support vector machine;
基于支撑向量机的井眼轨迹预测新方法
2.
A novel method for predicting wellbore trajectory based on support vector machine;
一种基于支撑向量机学习预测井眼轨迹的新方法
3.
Application of support vector machine in evaluation of Cangzhou sustainable development of water resource;
支撑向量机在沧州水资源可持续利用评价中的应用
补充资料：因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权
因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权：公民、法人的姓名权、名称权，名誉权、荣誉权、受到侵害的有权要求停止侵害，恢复名誉，消除影响，赔礼道歉，并可以要求赔偿损失。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条