A new ball passing strategy for robot soccer is proposed in this paper. With introduce of a new algorithm on ball passing, the optimum strategy is confirmed to be more efficient and exact when passing a ball. Question...A new ball passing strategy for robot soccer is proposed in this paper. With introduce of a new algorithm on ball passing, the optimum strategy is confirmed to be more efficient and exact when passing a ball. Questions of role switching in multi-intelligent agent cooperation in robot soccer are described based on Generalized Stochastic Petri-Net (GSPN). Results of computer simulation have confirmed the feasibility and efficiency of above Petri-net method.展开更多
许多核分类方法的决策函数可以表示为支持向量的组合,如SVM,而支持向量含有非常重要的隐私信息,因此,在分类决策时可能会暴露此类信息,同时分类速度受限于支持向量的个数,如SVM的分类复杂度为O(|SVs|).为解决上述两个问题,本文基于最小...许多核分类方法的决策函数可以表示为支持向量的组合,如SVM,而支持向量含有非常重要的隐私信息,因此,在分类决策时可能会暴露此类信息,同时分类速度受限于支持向量的个数,如SVM的分类复杂度为O(|SVs|).为解决上述两个问题,本文基于最小包含球球心在原始空间中的代理原像,提出了一种隐藏支持向量信息并能快速实现分类的SVM方法,称为隐私保护的快速SVM分类方法(Fast Classification Approach of SVM with Privacy Preservation,FCA-SVMWPP).同时提供了两种求解代理球心原像的方法,分别称为QP解法和直接解法.UCI和PIE人脸数据集的实验结果表明,本文方法可解决上述两个问题并具有较好的效果.展开更多
文摘A new ball passing strategy for robot soccer is proposed in this paper. With introduce of a new algorithm on ball passing, the optimum strategy is confirmed to be more efficient and exact when passing a ball. Questions of role switching in multi-intelligent agent cooperation in robot soccer are described based on Generalized Stochastic Petri-Net (GSPN). Results of computer simulation have confirmed the feasibility and efficiency of above Petri-net method.
文摘许多核分类方法的决策函数可以表示为支持向量的组合,如SVM,而支持向量含有非常重要的隐私信息,因此,在分类决策时可能会暴露此类信息,同时分类速度受限于支持向量的个数,如SVM的分类复杂度为O(|SVs|).为解决上述两个问题,本文基于最小包含球球心在原始空间中的代理原像,提出了一种隐藏支持向量信息并能快速实现分类的SVM方法,称为隐私保护的快速SVM分类方法(Fast Classification Approach of SVM with Privacy Preservation,FCA-SVMWPP).同时提供了两种求解代理球心原像的方法,分别称为QP解法和直接解法.UCI和PIE人脸数据集的实验结果表明,本文方法可解决上述两个问题并具有较好的效果.