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WSC
1998
13 years 8 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
ICDCS
2009
IEEE
14 years 4 months ago
Reducing Disk I/O Performance Sensitivity for Large Numbers of Sequential Streams
Retrieving sequential rich media content from modern commodity disks is a challenging task. As disk capacity increases, there is a need to increase the number of streams that are ...
George Panagiotakis, Michail Flouris, Angelos Bila...
ICDAR
2003
IEEE
14 years 5 days ago
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
CDC
2010
IEEE
13 years 1 months ago
Cost-aware Bayesian sequential decision-making for domain search and object classification
This paper focuses on the development of a cost-aware Bayesian sequential decision-making strategy for the search and classification of multiple unknown objects over a given domain...
Yue Wang, Islam I. Hussein, Donald R. Brown, Richa...
CLUSTER
2001
IEEE
13 years 10 months ago
Using Multirail Networks in High-Performance Clusters
Using multiple independent networks (also known as rails) is an emerging technique to overcome bandwidth limitations and enhance fault tolerance of current high-performance parall...
Salvador Coll, Eitan Frachtenberg, Fabrizio Petrin...