CUSTOMER PROFILE LEARNING BASED ON SEMI-SUPERVISED RECURRENT NEURAL NETWORK USING PARTIALLY LABELED SEQUENCE DATA

• 1. 一种基于半监督聚类集成学习的客户细分方法 [P] . 中国专利： CN112288465A . 2021-01-29
• 2. 一种基于半监督学习框架的T细胞受体序列分类方法 [P] . 中国专利： CN111489792A . 2020-08-04
• 3. Customer profile learning based on semi-supervised recurrent neural network using partially labeled sequence data [P] . US11093818B2 . 2021-08-17

  机译： 基于半监督经常性神经网络的客户资料学习使用部分标记的序列数据

• 4. User Data Learning Based on Recurrent Neural Networks with Long Short Term Memory [P] . 美国专利： US2018046920A1 . 2018-02-15

  机译： 基于具有长短期记忆的递归神经网络的用户数据学习

• 5. DEEP REINFORCEMENT LEARNING WITH FAST UPDATING RECURRENT NEURAL NETWORKS AND SLOW UPDATING RECURRENT NEURAL NETWORKS [P] . US2021097373A1 . 2021-04-01

  机译： 深度加强学习，快速更新经常性神经网络和缓慢更新经常性神经网络

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