开课单位--约瑟夫·斯特凡学院

201
Tool East Solution[东解工具]
  Mitja Jermol(约瑟夫·斯特凡学院)
热度：29

202
Towards small size ferroelectrics[往小尺寸铁电体]
  Marija Kosec(约瑟夫·斯特凡学院) author: Marija Kosec, Electronics Ceramics Department, Jožef Stefan Institute published: July 23, 2008, recorded: May 2008, views: 260
热度：38

203
Text Mining for Ontology Learning[文本挖掘的本体学习]
  Dunja Mladenić, Marko Grobelnik(约瑟夫·斯特凡学院)
热度：30

204
Context sensitivity for networked ontologies[网络本体的上下文灵敏度]
  Igor Mozetič(约瑟夫·斯特凡学院)
热度：54

205
Contribution on Intellectual Property Promotion and Technology Innovation Management in South East Europe[贡献知识产权促进技术创新管理东南欧]
  Špela Stres(约瑟夫·斯特凡学院)
热度：48

206
Dynamic Network and Content Visualization of Log Files[日志文件的动态网络和内容可视化]
  Boštjan Pajntar(约瑟夫·斯特凡学院)
热度：26

207
Opening Words[开幕词]
  Jadran Lenarčič(约瑟夫·斯特凡学院) Would you like to put a link to this lecture on your homepage? Go ahead! Copy the HTML snippet !
热度：39

208
Ontologies and Machine Learning[本体论和机器学习]
  Blaž Fortuna;Marko Grobelnik(约瑟夫·斯特凡学院) We address the problem of constructing light-weight ontology from social network data. As an example we use social network of a mid size research inst...
热度：60

209
The influence of weighting the k-occurrences on hubness-aware classification methods[加权k出现对中心度感知分类方法的影响]
  Nenad Tomašev(约瑟夫·斯特凡学院) Hubness is a phenomenon present in many highdimensional data sets. It is related to the skewness in the distribution of k-occurrences, i.e. occurrence...
热度：46

210
Relational and Semantic Data Mining for Biomedical Research[生物医学研究中的关系和语义数据挖掘]
  Petra Kralj Novak(约瑟夫·斯特凡学院) The paper first outlines subgroup discovery and selected relational data mining approaches, with the emphasis on propositionalization and relational s...
热度：37