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BMVC
2010
14 years 7 months ago
Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
Apurva Gala, Shishir Shah
SIGMETRICS
2010
ACM
155views Hardware» more  SIGMETRICS 2010»
14 years 8 months ago
Blackbox prediction of the impact of DVFS on end-to-end performance of multitier systems
Dynamic voltage and frequency scaling (DVFS) is a wellknown technique for gaining energy savings on desktop and laptop computers. However, its use in server settings requires care...
Shuyi Chen, Kaustubh R. Joshi, Matti A. Hiltunen, ...
76
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CIKM
2006
Springer
15 years 1 months ago
Ranking robustness: a novel framework to predict query performance
In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of ...
Yun Zhou, W. Bruce Croft
AIED
2007
Springer
15 years 3 months ago
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
ITC
2000
IEEE
88views Hardware» more  ITC 2000»
15 years 2 months ago
Predicting device performance from pass/fail transient signal analysis data
Transient Signal Analysis (TSA) is a Go/No-Go device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, a technique based o...
James F. Plusquellic, Amy Germida, Jonathan Hudson...