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WSC
1998
13 years 6 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 2 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
13 years 10 months 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
12 years 12 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 8 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...