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» Predicting relative performance of classifiers from samples
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CEC
2009
IEEE
13 years 11 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
PERCOM
2009
ACM
14 years 2 months ago
Adaptive Linear Filtering Compression on Realtime Sensor Networks
Abstract—We present a lightweight lossless compression algorithm for realtime sensor networks. Our proposed Adaptive Linear Filtering Compression (ALFC) algorithm performs predic...
Aaron B. Kiely, Mingsen Xu, Wen-Zhan Song, Renjie ...
ADHOC
2008
103views more  ADHOC 2008»
13 years 7 months ago
Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization
Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-...
Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao ...
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context
Background: Different microarray studies have compiled gene lists for predicting outcomes of a range of treatments and diseases. These have produced gene lists that have little ov...
Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Ha...
ISSRE
2008
IEEE
14 years 2 months ago
Cost Curve Evaluation of Fault Prediction Models
Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consen...
Yue Jiang, Bojan Cukic, Tim Menzies