开课单位--斯坦福大学计算机科学系
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Applications of Learning Theory in Algorithmic Game Theory[学习理论在算法博弈论中的应用]
  Tim Roughgarden(斯坦福大学计算机科学系) Algorithmic game theory is a field that uses and extends tools from economics and game theory to reason about fundamental computer science problems. T...
热度：25

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Natural Language Understanding: Foundations and State-of-the-Art[自然语言理解:基础和最新技术]
  Percy Liang(斯坦福大学计算机科学系) Building systems that can understand human language—being able to answer questions, follow instructions, carry on dialogues—has been a lon...
热度：22

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Software 2.0 and Snorkel: Beyond Hand-Labeled Data[软件2.0和浮潜：超越手工标记数据]
  Christopher Ré(斯坦福大学计算机科学系) This talk describes Snorkel, a software system whose goal is to make routine machine learning tasks dramatically easier. Snorkel focuses on a key bott...
热度：21

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Network embeddings for modeling polypharmacy and drug-drug interactions[多党派和药物相互作用建模的网络嵌入]
  Marinka Žitnik(斯坦福大学计算机科学系) Polypharmacy, the use of drug combinations, is common to treat patients with complex or co-existing diseases. However, a major consequence of polyphar...
热度：32

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Graph neural networks for computational drug repurposing[用于计算药物再利用的图形神经网络]
  Marinka Žitnik(斯坦福大学计算机科学系) It can take 15 years and cost $1 billion for a new drug to reach patients as the question of identifying which diseases a new drug could treat is trem...
热度：24
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