开课单位--密歇根州立大学
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Patient Subtyping via Time-­Aware LSTM Network[通过时间感知 LSTM 网络进行患者子类型分析]
  Inci M. Baytas(密歇根州立大学) In the study of various diseases, heterogeneity among patients usually leads to different progression patterns and may require different types of ther...
热度：11

2
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning[通过多Agent深度强化学习实现高效的大规模车队管理]
  Kaixiang Lin(密歇根州立大学) Large-scale online ride-sharing platforms have substantially transformed our lives by reallocating transportation resources to alleviate traffic conge...
热度：17

3
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases[子空间网络：神经退行性疾病建模的深度多任务截尾回归]
  Mengying Sun(密歇根州立大学) Over the past decade a wide spectrum of machine learning models have been developed to model the neurodegenerative diseases, associating biomarkers, e...
热度：21

4
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning[基于Multi-Agent深度强化学习的高效大规模车队管理]
  Kaixiang Lin(密歇根州立大学) Large-scale online ride-sharing platforms have substantially transformed our lives by reallocating transportation resources to alleviate traffic conge...
热度：18

5
Crowdsourcing and Gamification for Multilingual Linguistic Data[多语言语言数据的众包和游戏化]
  Martin Benjamin(密歇根州立大学) Crowdsourcing and Gamification for Multilingual Linguistic Data
热度：24

6
Querying Enterprise Knowledge Graph With Natural Language[用自然语言查询企业知识图]
  Jim McCusker(密歇根州立大学) Querying Enterprise Knowledge Graph With Natural Language
热度：33

7
Finding melanoma drugs through a probabilistic knowledge graph[通过概率知识图发现黑色素瘤药物]
  Jim McCusker(密歇根州立大学) Finding melanoma drugs through a probabilistic knowledge graph
热度：24

8
Field-aware Embedding Space Searching in Recommender Systems[推荐系统中的场感知嵌入空间搜索]
  An Lao(密歇根州立大学) Field-aware Embedding Space Searching in Recommender Systems
热度：19

9
User Simulation via Supervised Generative Adversarial Network[基于监督生成对抗网络的用户仿真]
  Xiangyu Zhao(密歇根州立大学) User Simulation via Supervised Generative Adversarial Network
热度：23

10
ReBioGeneSys and the Origins of Life / Deep Time and Material Agency[再生与生命起源/深层次与物质代理]
  Adam W. Brown(密歇根州立大学) "ReBioGeneSys - Origins of Life" is a fully functioning scientific experiment capable of being reconfigured into any real or imaginary world...
热度：53
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