开课单位--伦敦大学
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1
Behavioural Learning: Inspiration from Nature?[行为学习：来自自然的灵感？]
  Chris Watkins(伦敦大学) Behavioural Learning: Inspiration from Nature?
热度：42

2
Models of Human decision-making[人类决策模型]
  Nick Chater(伦敦大学) Models of Human decision-making
热度：30

3
Spatiotemporal classification[时空分类]
  Janaina Mourao Miranda(伦敦大学) Spatiotemporal classification
热度：36

4
Celična sestavljanka molekul RNK[细胞分子RNK]
  Jernej Ule(伦敦大学) Sporočilo za delovanje naših celic je shranjeno v genomu, ki je zapisan v molekulah DNK. Medtem ko vse celice v našem telesu vsebujejo i...
热度：55

5
Machine learning and the cognitive science of natural language[机器学习与自然语言认知科学]
  Alexander Clark(伦敦大学) Machine learning and the cognitive science of natural 
热度：30

6
Empirical Inference[经验推断]
  Vladimir Vapnik(伦敦大学) Empirical Inference
热度：33

7
Cognitive science for machine learning 1:What is cognitive science?[机器学习的认知科学1:什么是认知科学?]
  Nick Chater(伦敦大学) Cognitive science for machine learning 1:What is cognitive science?
热度：37

8
Kernel Methods in Statistical Learning[统计学习中的核方法]
  John Shawe-Taylor(伦敦大学) Kernel Methods in Statistical Learning
热度：19

9
Hierarchical Clustering[分层聚类]
  Yee Whye Teh(伦敦大学) Hierarchical Clustering
热度：33

10
Networks through a Quantum Lens[通过量子透镜的网络]
   Simone Severini(伦敦大学) Networks through a Quantum Lens
热度：34
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