开课单位--伦敦大学学院

41
Deep Reinforcement Learning[深度强化学习]
  David Silver(伦敦大学学院) In this tutorial I will discuss how reinforcement learning (RL) can be combined with deep learning (DL). There are several ways to combine DL and RL t...
热度：57

42
Clustering of Visual Data using[聚类的可视化数据使用]
  Tijana Janjusevic(伦敦大学学院) Clustering of Visual Data using Ant Ant-inspired Methods
热度：38

43
Introduction to the On-line Trading of Exploration and Exploitation Workshop[在线贸易勘探和开发车间概论]
  Zakria Hussain(伦敦大学学院) Welcome to the On-line Trading of Exploration and Exploitation Workshop
热度：34

44
Languages as Hyperplanes: Grammatical Inference with String Kernels[语言与超平面：字符串核函数的语法推理]
  Alexander Clark(伦敦大学学院) Grammatical Inference with String Kernels
热度：46

45
Cognitive science for machine learning 2: Empirical methods[机器学习的认知科学2：经验方法]
  Nick Chater(伦敦大学学院) OBSERVATIONs, WHETHE EVERYDAY ORCLEVERLY CONSTRUCTED,ARE VITAL CLUES 
热度：40

46
Techniques for Learning Multiple Related Tasks[学习多任务的技术]
  Massimiliano Pontil(伦敦大学学院) Method for learning shared features across tasksConjoint analysis application
热度：29

47
Gait Representation Using Flow Fields[采用流场的步态特征表示]
  Khalid Bashir(伦敦大学学院) The gait feature of flow field is used to represent the gait     Gait Representation Using Flow Fields 0:07    The P...
热度：41

48
A polynomial algorithm for the inference of context free languages[上下文无关语言推理的多项式算法]
  Alexander Clark(伦敦大学学院) A polynomial algorithm for the inference of context free languages
热度：36

49
Foundational Concerns and Mathematical Concerns[基础关注与数学关注]
  Angus Macintyre(伦敦大学学院) Basic concern and mathematical concern
热度：32

50
Head Pose Classification in Crowded Scenes[拥挤场景下的头部姿势分类 ]
  Javier Orozco(伦敦大学学院) Head pose classification in crowded scenes
热度：43