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» Modeling Program Predictability
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FCCM
2008
IEEE
128views VLSI» more  FCCM 2008»
14 years 4 months ago
Investigation of Programming Models for Emerging FPGA-Based High Performance Computing Systems
This work proposes a set of requirements for programming emerging FPGA-based high performance computing systems, and uses them to evaluate a number of existing parallel programmin...
Andrew W. H. House, Paul Chow
BMCBI
2007
139views more  BMCBI 2007»
13 years 10 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
ECML
2005
Springer
14 years 3 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
14 years 4 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis
ICCSA
2003
Springer
14 years 3 months ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...