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» Learning and Generalization with the Information Bottleneck
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AVI
2010
15 years 4 months ago
An infrastructure for creating graphical indicators of the learner profile by mashing up different sources
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...
Luca Mazzola, Riccardo Mazza
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 7 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
WWW
2010
ACM
16 years 1 months ago
Identifying featured articles in wikipedia: writing style matters
Wikipedia provides an information quality assessment model with criteria for human peer reviewers to identify featured articles. For this classification task “Is an article fea...
Nedim Lipka, Benno Stein
SIGIR
2009
ACM
16 years 1 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
IUI
2006
ACM
16 years 17 days ago
Fewer clicks and less frustration: reducing the cost of reaching the right folder
Helping computer users rapidly locate files in their folder hierarchies has become an important research topic in today’s intelligent user interface design. This paper reports o...
Xinlong Bao, Jonathan L. Herlocker, Thomas G. Diet...