Sequential learning and decision algorithms are investigated, with various application areas, under a family of additive loss functions for individual data sequences. Simple universal sequential schemes are known, under certain conditions, to approach optimality uniformly as fast as
Dept. of Elec. Eng., Technion - I. I. T., Haifa 32000, ISRAEL;
Dept. of Elec. Eng. - Systems, Tel Aviv University, Tel Aviv 69978, ISRAEL;
机译:从单个数据序列进行顺序决策的通用方案
机译:有限内存通用数据压缩和单个序列分类
机译:通过数据挖掘和能力扩展为决策者生成学习序列
机译:从单个数据序列进行顺序决策的通用方案
机译:学习使用动态贝叶斯网络从人口统计数据生成个体序列数据
机译:语法失语症个体的顺序学习:来自人工语法学习的证据
机译:从单个数据序列进行顺序决策的通用方案