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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 12 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
BMCBI
2007
139views more  BMCBI 2007»
15 years 6 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
MASCOTS
2007
15 years 7 months ago
PerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers
— We present a tool, PerfCenter, that takes as input the deployment, configuration, message flow and workload details of the hardware and software servers in an application hos...
Rukma Prabhu Verlekar, Varsha Apte, Prakhar Goyal,...
CHI
2010
ACM
16 years 1 months ago
Predicting the cost of error correction in character-based text entry technologies
Researchers have developed many models to predict and understand human performance in text entry. Most of the models are specific to a technology or fail to account for human fact...
Ahmed Sabbir Arif, Wolfgang Stuerzlinger
IEEEPACT
2003
IEEE
15 years 11 months ago
Miss Rate Prediction across All Program Inputs
Improving cache performance requires understanding cache behavior. However, measuring cache performance for one or two data input sets provides little insight into how cache behav...
Yutao Zhong, Steve Dropsho, Chen Ding