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» Semi-supervised Learning from General Unlabeled Data
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ML
2007
ACM
122views Machine Learning» more  ML 2007»
13 years 7 months ago
Status report: hot pickles, and how to serve them
The need for flexible forms of serialisation arises under many circumstances, e.g. for doing high-level inter-process communication or to achieve persistence. Many languages, inc...
Andreas Rossberg, Guido Tack, Leif Kornstaedt
WWW
2009
ACM
14 years 3 months ago
News article extraction with template-independent wrapper
We consider the problem of template-independent news extraction. The state-of-the-art news extraction method is based on template-level wrapper induction, which has two serious li...
Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiaj...
CIKM
2009
Springer
13 years 9 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
WWW
2011
ACM
13 years 3 months ago
Semi-supervised truth discovery
Accessing online information from various data sources has become a necessary part of our everyday life. Unfortunately such information is not always trustworthy, as different sou...
Xiaoxin Yin, Wenzhao Tan
CHI
2011
ACM
12 years 12 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal