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ECAI
2000
Springer
14 years 5 days ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
SODA
2001
ACM
13 years 9 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...