开课单位--华东师范大学
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Decoupled Learning for Factorial Marked Temporal Point Processes[因子标记时间点过程的解耦学习]
Lu Wang(华东师范大学) This paper introduces the factorial marked temporal point process model and presents efficient learning methods. In conventional (multi-dimensional) m...
热度:21
Lu Wang(华东师范大学) This paper introduces the factorial marked temporal point process model and presents efficient learning methods. In conventional (multi-dimensional) m...
热度:21
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Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation[基于递归神经网络的监督强化学习在动态治疗推荐中的应用]
Lu Wang(华东师范大学) Dynamic treatment recommendation systems based on large-scale electronic health records (EHRs) become a key to successfully improve practical clinical...
热度:22
Lu Wang(华东师范大学) Dynamic treatment recommendation systems based on large-scale electronic health records (EHRs) become a key to successfully improve practical clinical...
热度:22
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Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique[基于预训练加速技术的多视点深度高斯过程]
Jing Zhao(华东师范大学) Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique
热度:30
Jing Zhao(华东师范大学) Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique
热度:30
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