开课单位--伊利诺伊大学

31
Iterative Learning for Reliable Crowdsourcing Systems[可靠众包系统的迭代学习]
  Sewoong Oh(伊利诺伊大学) Crowdsourcing systems, in which tasks are electronically distributed to numerous "information piece-workers", have emerged as an effective p...
热度:53

32
Image Structure and Syntax for Recognition[用于识别的图像结构和语法]
  Narendra Ahuja(伊利诺伊大学) What general purpose image representation could serve the diverse needs of image recognition? How to represent the spectral and spatial structure of a...
热度:62

33
Rated Aspect Summarization of Short Comments[简短评论评级方面的综述]
  Yue Lu, ChengXiang Zhai, Neel Sundaresan(伊利诺伊大学) Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large ...
热度:101

34
Mining Named Entities with Temporally Correlated Bursts from Multilingual Web News Streams[从多语言网络新闻流中挖掘具有与时间相关的突发命名实体]
  Alexander Kotov(伊利诺伊大学) In this work, we study a new text mining problem of discovering named entities with temporally correlated bursts of mention counts in multiple multili...
热度:52

35
Effects of Intelligent Notification Management on Users and Their Tasks[智能通知管理对用户及其任务的影响]
  Shamsi T. Iqbal(伊利诺伊大学) Reports the first empirical and behavioral results on how scheduling notifications using an automated system impacts interruption costs in practical s...
热度:47

36
Abiding Issues in the Study of North American Indian Music[北美印第安音乐研究中的持久性问题]
  Bruno Nettl(伊利诺伊大学) 北美印第安音乐研究中的持久性问题 
热度:64

37
Successes, Failures and Learning From Them[成功,失败和从中学习]
  Jiawei Han(伊利诺伊大学) Over the last eighteen years, the field of knowledge discovery and data mining has matured considerably. Although the field has evolved as a result of...
热度:43

38
Mining Heterogeneous Information Networks[异构信息网络挖掘]
  Jiawei Han(伊利诺伊大学) With the ubiquity of information networks and their broad applications, there have been numerous studies on the construction, online analytical proces...
热度:56

39
Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures[基于零不变测度的顶相关模式的有效挖掘]
  Jiawei Han(伊利诺伊大学) Mining strong correlations from transactional databases often leads to more meaningful results than mining association rules. In such mining, null (tr...
热度:51

40
Mining Term Association Patterns from Search Logs for Effective Query Reformulation[关联模式挖掘从搜索日志进行有效的查询重写]
  Xuanhui Wang(伊利诺伊大学) 关联模式挖掘从搜索日志进行有效的查询重写
热度:46