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» Inferring Query Performance Using Pre-retrieval Predictors.
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SIGIR
2005
ACM
15 years 8 months ago
Predicting query difficulty on the web by learning visual clues
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 (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
14 years 5 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
PLDI
2012
ACM
13 years 4 months ago
Automated error diagnosis using abductive inference
When program verification tools fail to verify a program, either the program is buggy or the report is a false alarm. In this situation, the burden is on the user to manually cla...
Isil Dillig, Thomas Dillig, Alex Aiken
KR
1992
Springer
15 years 6 months ago
Learning Useful Horn Approximations
While the task of answering queries from an arbitrary propositional theory is intractable in general, it can typicallybe performed e ciently if the theory is Horn. This suggests t...
Russell Greiner, Dale Schuurmans
VLDB
1999
ACM
112views Database» more  VLDB 1999»
15 years 6 months ago
Context-Based Prefetch for Implementing Objects on Relations
When implementing persistent objects on a relational database, a major performance issue is prefetching data to minimize the number of roundtrips to the database. This is especial...
Philip A. Bernstein, Shankar Pal, David Shutt