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基于Help-Training 的半监督支持向量回归
助训练 支持向量回归 k 近邻 置信度
2014/9/29
提出一种基于Help-Training 的半监督支持向量回归算法, 包含最小二乘支持向量回归(LS-SVR) 和?? 近邻(??NN) 两种类型学习器. 主学习器LS-SVR 通过选择高置信度的未标记样本加以标记, 并将其添加到已标记样本集, 使训练样本的规模不断扩大, 以提高LS-SVR 的函数逼近性能. 辅学习器??NN用以协助LS-SVR 从训练样本比较密集的区域选取未标记样本加以置信度评估...
Research on Enhancing the Effectiveness of Staff-Training in Private Enterprise
Private Enterprise Staff training Effectiveness
2013/2/23
In 21st century, the enterprise competition is a comprehensive competition based on talent, capital, technology and energy. Especially, among all these elements, talent is the most important one. How ...
A Framework for Training Students as Evaluators of Instructor Performance
Framework Instructor Performance
2009/7/15
Student evaluations of instructor performance are important tools for instructor development and assessment. A framework for training students as evaluators of instructors is presented, incorporating ...