School of Computer Science and Engineering, University of New South Wales, Sydney, Australia,National ICT Australia (NICTA), Sydney, Australia;
School of Computer Science and Engineering, University of New South Wales, Sydney, Australia;
School of Computer Science and Engineering, University of New South Wales, Sydney, Australia,National ICT Australia (NICTA), Sydney, Australia;
National ICT Australia (NICTA), Sydney, Australia;
Novel Approach Limited, Hong Kong, China;
Stock trend prediction; Hierarchical beta process; GARCH-based clustering;
机译:基于滞后相关的深度学习用于金融时间序列中的方向趋势变化预测
机译:金融时序趋势预测的高阶隐马尔可夫模型
机译:金融时序序列数据中的短期趋势预测
机译:金融时序趋势预测的分层测试方法方法
机译:使用生物信息学技术进行时间序列趋势匹配和预测
机译:Elman递归随机神经网络的金融时间序列预测
机译:基于相关的相关性的深度学习,用于金融时序序列的定向趋势变化预测