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» A measure theoretic approach to information retrieval
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CIKM
2011
Springer
14 years 6 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
16 years 6 days ago
NetQuest: a flexible framework for large-scale network measurement
Abstract—In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that m...
Han Hee Song, Lili Qiu, Yin Zhang
ML
2007
ACM
15 years 5 months ago
Learning deterministic context free grammars: The Omphalos competition
This paper describes the winning entry to the Omphalos context free grammar learning competition. Our approach integrates an information theoretic constituent likelihood measure to...
Alexander Clark
WWW
2004
ACM
16 years 7 months ago
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
We present a principled methodology for filtering news stories by formal measures of information novelty, and show how the techniques can be used to custom-tailor newsfeeds based ...
Evgeniy Gabrilovich, Susan T. Dumais, Eric Horvitz
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
15 years 4 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...