开课单位--伦敦大学学院

81
Research Problems in applaying RL in Interactive Systems Towards a Taxonomy...[在应用RL在交互系统建立一个分类学研究中存在的问题...]
  Chris Watkins(伦敦大学学院) author: Chris Watkins, Department of Computer Science, Royal Holloway, University of London published: Feb. 25, 2007, recorded: July 2005, views: 55 ...
热度:42

82
Dirichlet Processes: Tutorial and Practical Course[Dirichlet模型:教程与实践课程]
  Yee Whye Teh(伦敦大学学院) **The Bayesian approach** allows for a coherent framework for dealing with uncertainty in machine learning. By integrating out parameters, Bayesian mo...
热度:85

83
Pattern Recognition for Neuroimaging Toolbox[模式识别的神经成像工具]
  Janaina Mourao-Miranda(伦敦大学学院)
热度:39

84
A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery[希尔伯特施密特的依赖最大化的方法来监督结构发现]
  Arthur Gretton(伦敦大学学院) In recent work by (Song et al., 2007), it has been proposed to perform clustering by maximizing a Hilbert-Schmidt independence criterion with respect ...
热度:62

85
Transitional Spaces: From Critical Spatial Practice to Site-Writing[过渡空间:从批判空间实践到网站写作]
  Jane Rendell(伦敦大学学院) This talk explores “critical spatial practice”, a term I introduced in 2002 to refer to urban interventions that transgress the limits of ...
热度:82

86
AI in Education[教育中的人工智能]
  John Shawe-Taylor(伦敦大学学院) AI in Education
热度:74

87
Free energy and active inference[自由能与主动推理]
  Karl Friston(伦敦大学学院) How much about our interactions with - and experience of - our world can be deduced from basic principles? This talk reviews recent attempts to unders...
热度:77

88
Online Reinforcement Learning from Concurrent Customer Interaction Sequences[在线强化并发客户交互序列的学习]
  David Silver(伦敦大学学院) This talk explores applications in which a company interacts with many customers. The company has an objective function, such as maximising revenue, c...
热度:80

89
Kernel Methods and Support Vector Machines[核方法和支持向量机]
  John Shawe-Taylor(伦敦大学学院) Kernel methods have become a standard tool for pattern analysis during the last fifteen years since the introduction of support vector machines. We wi...
热度:29

90
Limitations of kernel and multiple kernel learning[限制的内核,多内核学习]
  John Shawe-Taylor(伦敦大学学院) Many low Vapnik-Chervonenkis (and hence statistically learnable) classes cannot be represented as linear classes in such a way that they can be learnt...
热度:71