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» On improving application utility prediction
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126
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KCAP
2009
ACM
15 years 8 months ago
Large-scale extraction and use of knowledge from text
A large amount of empirically derived world knowledge is essential for many languageprocessing tasks, to create expectations that can help assess plausibility and guide disambigua...
Peter Clark, Philip Harrison
ICPR
2006
IEEE
16 years 2 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
124
Voted
ECIR
2009
Springer
15 years 11 months ago
Classifying and Characterizing Query Intent
Understanding the intent underlying user queries may help personalize search results and improve user satisfaction. In this paper, we develop a methodology for using ad clickthroug...
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei...
ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
15 years 7 months ago
Learning-Assisted Multi-Step Planning
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe
IEEEPACT
2002
IEEE
15 years 6 months ago
Quantifying Instruction Criticality
Information about instruction criticality can be used to control the application of micro-architectural resources efficiently. To this end, several groups have proposed methods t...
Eric Tune, Dean M. Tullsen, Brad Calder