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CP
2008
Springer
14 years 11 months ago
Experimenting with Small Changes in Conflict-Driven Clause Learning Algorithms
Experimentation of new algorithms is the usual companion section of papers dealing with SAT. However, the behavior of those algorithms is so unpredictable that even strong experime...
Gilles Audemard, Laurent Simon
ISBI
2006
IEEE
15 years 3 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
COLT
1997
Springer
15 years 1 months ago
On-line Learning and the Metrical Task System Problem
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
Avrim Blum, Carl Burch
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 2 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
72
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CSCWD
2009
Springer
15 years 4 months ago
Collaborative technologies in international distance education
We present a case study of an international distance education course involving two sites in the US and one site in Pakistan. We use the case study to examine the elements of the ...
Richard J. Anderson, Ruth E. Anderson, Natalie Lin...