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77
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WSC
1998
15 years 2 months ago
Sequential Allocations that Reduce Risk for Multiple Comparisons
We consider how to efficiently allocate computing resources in order to infer the best of a finite set of simulated systems, where best means that the system has the maximal expec...
Stephen E. Chick, Koichiro Inoue
96
Voted
BMCBI
2008
111views more  BMCBI 2008»
15 years 28 days ago
MLIP: using multiple processors to compute the posterior probability of linkage
Background: Localization of complex traits by genetic linkage analysis may involve exploration of a vast multidimensional parameter space. The posterior probability of linkage (PP...
Manika Govil, Alberto Maria Segre, Veronica J. Vie...
IPL
2007
96views more  IPL 2007»
15 years 22 days ago
On constructing an optimal consensus clustering from multiple clusterings
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao, Jie...
124
Voted
MCS
2002
Springer
15 years 15 days ago
New Measure of Classifier Dependency in Multiple Classifier Systems
Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
Dymitr Ruta, Bogdan Gabrys
103
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ET
2010
98views more  ET 2010»
14 years 11 months ago
MONSOON: SAT-Based ATPG for Path Delay Faults Using Multiple-Valued Logics
Abstract As technology scales down into the nanometer era, delay testing of modern chips has become more and more important. Tests for the path delay fault model are widely used to...
Stephan Eggersglüß, Görschwin Fey,...