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129
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ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
15 years 10 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
132
Voted
SAFECOMP
1999
Springer
15 years 8 months ago
Towards Statistical Control of an Industrial Test Process
We present an ongoing experience aimed at introducing statistical process control techniques to one crucial test phase, namely Function Test, of a real world software development p...
Gaetano Lombardi, Emilia Peciola, Raffaela Mirando...
122
Voted
PERCOM
2009
ACM
15 years 10 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 ...
116
Voted
CP
2007
Springer
15 years 9 months ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
203
Voted
USENIX
2008
15 years 6 months ago
A Compacting Real-Time Memory Management System
We propose a real real-time memory management system called Compact-fit that offers both time and space predictability. Compact-fit is a compacting memory management system for al...
Silviu S. Craciunas, Christoph M. Kirsch, Hannes P...