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CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 7 months ago
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments
In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...
JFR
2006
140views more  JFR 2006»
13 years 7 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
JGS
2006
154views more  JGS 2006»
13 years 7 months ago
Area-to-point Kriging with inequality-type data
In practical applications of area-to-point spatial interpolation, inequality constraints, such as non-negativity, or more general constraints on the maximum and/or minimum allowab...
E.-H. Yoo, Phaedon C. Kyriakidis
MANSCI
2008
96views more  MANSCI 2008»
13 years 7 months ago
Staffing of Time-Varying Queues to Achieve Time-Stable Performance
Continuing research by Jennings, Mandelbaum, Massey and Whitt (1996), we investigate methods to perform time-dependent staffing for many-server queues. Our aim is to achieve time-...
Zohar Feldman, Avishai Mandelbaum, William A. Mass...
ML
2008
ACM
13 years 7 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski
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