机译:用于半监督和无监督正则化最小二乘分类的有效递归局部搜索策略
1.Computer Science Department Carl von Ossietzky Universität Oldenburg 26111 Oldenburg Germany;
1.Computer Science Department Carl von Ossietzky Universität Oldenburg 26111 Oldenburg Germany;
2.Department of Information Technology Turku Centre for Computer Science University of Turku 20520 Turku Finland;
2.Department of Information Technology Turku Centre for Computer Science University of Turku 20520 Turku Finland;
Machine learning; Semi-supervised support vector machines; Maximum margin clustering; Regularized least-squares classification; Combinatorial optimization; Matrix calculus;
机译:用于半监督和无监督正则化最小二乘分类的有效递归局部搜索策略
机译:基于数据随机分区和并行搜索策略的贝叶斯无监督分类框架
机译:基于数据随机分区和并行搜索策略的贝叶斯无监督分类框架
机译:无监督的多类正则最小二乘分类
机译:类内和无监督聚类可提高准确性并提取局部结构以进行有监督的分类。
机译:解决无监督数据分类问题的有效优化方法
机译:基于数据随机分区和并行搜索策略的贝叶斯无监督分类框架