开课单位--布里斯托大学
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1
Introduction to Support Vector Machines[支持向量机简介]
  Colin Campbell(布里斯托大学) Introduction to Support Vector Machines
热度：22

2
Celebrity Watch: Browsing News Content by Exploiting Social Intelligence[名人看：利用社会智力浏览新闻内容]
  Ilias Flaounas(布里斯托大学) Celebrity Watch is an automatically-generated website that presents up-to-date entertainment news from around the world. It demonstrates the applicati...
热度：26

3
Patterns: Significant vs. Accidental[模式：重大VS.意外]
  Nello Cristianini(布里斯托大学) 模式：重大VS.意外
热度：56

4
Patterns in Web Content[网页内容模式]
  Nello Cristianini(布里斯托大学) 网页内容模式
热度：41

5
IFA for the Diagnosis of a Railway Infrastructure Device in a Semi-Supervised Learning[IFA在半监督学习铁路基础设施设备的诊断]
  Nicolas Cheifetz(布里斯托大学) IFA在半监督学习铁路基础设施设备的诊断
热度：49

6
Introduction to the workshop on Analysis of Patterns [模式分析研讨会简介]
  Nello Cristianini(布里斯托大学) 模式分析研讨会简介
热度：49

7
What Are Patterns?[模式是什么？]
   Nello Cristianini(布里斯托大学) **//Disclaimer:// Videolectures.Net emphasises that the audio quality of this video could not be improved, due to poor audio quality conditions provid...
热度：36

8
Evaluation Measures for Multi-Class Subgroup Discovery[对于多类子群发现评价措施]
  Tarek Abudawood(布里斯托大学) Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. It has p...
热度：57

9
Identifying Optimal Sequential Decisions[确定最优序贯决策]
  Vanessa Didelez(布里斯托大学) We consider conditions that allow us to find an optimal strategy for sequential decisions from a given data situation. For the case where all interven...
热度：63

10
Automatic Discovery of Patterns in News Content[在新闻内容中的自动发现模式]
  Nello Cristianini(布里斯托大学)
热度：40
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