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» Predicting When Not to Predict
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139
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SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
15 years 10 months ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
ICNP
2000
IEEE
15 years 9 months ago
Differentiated Predictive Fair Service for TCP Flows
The majority of the traffic (bytes) flowing over the Internet today have been attributed to the Transmission Control Protocol (TCP). This strong presence of TCP has recently spu...
Ibrahim Matta, Liang Guo
160
Voted
IEEEPACT
1998
IEEE
15 years 9 months ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
APGV
2004
ACM
124views Visualization» more  APGV 2004»
15 years 8 months ago
An experimental approach to predicting saliency for simplified polygonal models
In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predi...
Sarah Howlett, John Hamill, Carol O'Sullivan
ASPLOS
2006
ACM
15 years 8 months ago
Accurate and efficient regression modeling for microarchitectural performance and power prediction
We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
Benjamin C. Lee, David M. Brooks