In the process of training, the dissertation solves the quadratic programming problem by the method of Feasible Directions, and gives the algorithm for solving described.
在分类函数的训练过程中,本文使用可行性方向法对二次规划问题进行求解,并给出了求解后的算法描述。
参考来源 - 基于SVM的中文文本分类算法研究与实现The global minimum of a quadratic programming will be reached when the dual gap is zero. According this property, the halt criteria in the sequential minimal optimization algorithm was modified, and a modified sequential minimal optimization algorithm was proposed.
根据凸二次优化问题在对偶间隙为零时取得最优解这个性质,对序列最小优化算法的停机准则进行改进,提出一种改进的序列最小优化算法。
参考来源 - 支持向量机方法及其应用研究The theory of the SVM algorithm is based on statistical learning theory. Training of SVM leads to a quadratic programming problem.
SVM算法以统计学习理论作为其理论基础,它的训练等价于解决一个二次规划问题。
参考来源 - 短期负荷预测的支持向量机方法研究Further analysis shows that it can approximate to a quadratic programming problem.
进一步分析得出，它可近似为一个二次型优化问题。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
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A region decomposition method to solve a positive definite quadratic programming is presented.
给出了一个求解正定二次规划的区域分解方法。
In this paper, penalty parameter for linearly constrained 0-1 quadratic programming is improved.
本文改进了带线性约束0 - 1二次规划问题的罚参数下界。
This paper presents a reactive power optimization model that is based on successive quadratic programming methods.
介绍了一种无功优化模型，并基于连续二次规划的方法。
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