开课单位--数学与计算机科学中心
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The Catch-Up Phenomenon in Bayesian Inference[贝叶斯推理中的追赶现象]
  Peter Grünwald(数学与计算机科学中心) Standard Bayesian model selection/averaging sometimes learn too slowly: there exist other learning methods that lead to better predictions based on le...
热度：66

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Suboptimality of MDL and Bayes in Classification under Misspecification[在错误的MDL贝叶斯分类的次优性]
  Peter Grünwald(数学与计算机科学中心) We show that forms of Bayesian and MDL learning that are often applied to classification problems can be *statistically inconsistent*. We present a la...
热度：46

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Learning a set of directions[学习一组方向]
  Wouter M. Koolen(数学与计算机科学中心) Assume our data consists of unit vectors (directions) and we are to find a small orthogonal set of the “the most important directions” sum...
热度：38

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COMM: Designing a Well-Founded Multimedia Ontology for the Web[要求：良好的多媒体本体的网页设计]
  Raphaël Troncy(数学与计算机科学中心) Semantic descriptions of non-textual media available on the web can be used to facilitate retrieval and presentation of media assets and documents con...
热度：34

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DB vs RDF: structure vs correlation[DB与RDF：结构与关系]
  Peter Boncz(数学与计算机科学中心) Categories Top » Computer Science » Semantic Computing  
热度：49

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Multilingual and Cross-lingual Ontology matching and its Application to Financial Accounting Standards[多语种跨语言本体匹配及其在财务会计准则中的应用]
  Laura Hollink(数学与计算机科学中心) Ontology matching is a task that has attracted considerable attention in recent years. With very few exceptions, however, research in ontology matchin...
热度：35
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