开课单位--密歇根大学

1
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online [越简单越好：基于大规模在线预测出租车原始需求的统一方法]
  Jieping Ye(密歇根大学) Taxi-calling apps are gaining increasing popularity for their efficiency in dispatching idle taxis to passengers in need. To precisely balance the sup...
热度：143

2
Modeling Task Relationships in Multi‑task Learning with Multi‑gate Mixture‑of‑Experts[用多门混合专家建模多任务学习中的任务关系]
  Jiaqi Ma(密歇根大学) Modeling Task Relationships in Multi‑task Learning with Multi‑gate Mixture‑of‑Experts
热度：108

3
PNP: Fast Path Ensemble Method for Movie Design[PNP：电影设计的快速路径集成方法]
  Danai Koutra(密歇根大学) How can we design a product or movie that will attract, for example, the interest of Pennsylvania adolescents or liberal newspaper critics? What shoul...
热度：93

4
Learning to Track: Online Multi-Object Tracking by Decision Making[学习跟踪：通过决策进行在线多目标跟踪]
  Yu Xiang(密歇根大学) Online Multi-Object Tracking (MOT) has wide applications in time-critical video analysis scenarios, such as robot navigation and autonomous driving. I...
热度：133

5
Reinforcement learning: Tutorial + Rethinking State, Action & Reward[强化学习:教程+反思状态，行动和奖励]
  Satinder Singh(密歇根大学) Reinforcement learning: Tutorial + Rethinking State, Action & Reward
热度：99

6
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan[主动补救：在密歇根弗林特寻找铅管道]
  Alex Chojnacki(密歇根大学) We detail our ongoing work in Flint, Michigan to detect pipes made of lead and other hazardous metals. After elevated levels of lead were detected in ...
热度：112

7
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient[基于策略梯度的半监督文本分类学习对抗网络]
  Yan Li(密歇根大学) Semi-supervised learning is a branch of machine learning techniques that aims to make fully use of both labeled and unlabeled instances to improve the...
热度：104

8
A Framework to Integrate Public, Dynamic Metrics Into an OER Platform[将公共动态指标集成到OER平台的框架]
  Jaclyn Zetta Cohen(密歇根大学) The usage metrics for open educational resources (OER) are often either hidden behind an authentication system or shared intermittently in static, agg...
热度：115

9
Identifying Alzheimers Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis[利用稀疏复合线性判别分析从多模态神经成像数据识别阿尔茨海默病相关脑区]
   Jieping Ye(密歇根大学) Diagnosis of Alzheimer's disease (AD) at the early stage of the disease development is of great clinical importance. Current clinical assessment t...
热度：165

10
Electronics on Plastic: A Solution to the Energy Challenge, or a Pipe Dream?[塑料上的电子产品：能源挑战的解决方案，还是白日梦？]
   Stephen R. Forrest(密歇根大学) As urgency to address climate change mounts, there’s ever greater interest in harnessing the unlimited potential of the sun to replace fossil fu...
热度：247