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ISCAPDCS
2003
15 years 9 months ago
Using Kernel Coupling to Improve the Performance of Multithreaded Applications
Kernel coupling refers to the effect that kernel i has on kernel j in relation to running each kernel in isolation. The two kernels can correspond to adjacent kernels or a chain ...
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Ri...
ATAL
2010
Springer
15 years 8 months ago
Exploiting domain knowledge to improve norm synthesis
Social norms enable coordination in multiagent systems by constraining agent behaviour in order to achieve a social objective. Automating the design of social norms has been shown...
George Christelis, Michael Rovatsos, Ronald P. A. ...
JIFS
2008
155views more  JIFS 2008»
15 years 7 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
JSS
2008
157views more  JSS 2008»
15 years 7 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
SIGIR
2008
ACM
15 years 7 months ago
Exploiting subjectivity analysis in blogs to improve political leaning categorization
In this paper, we address a relatively new and interesting text categorization problem: classify a political blog as either liberal or conservative, based on its political leaning...
Maojin Jiang, Shlomo Argamon