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115
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JMLR
2008
151views more  JMLR 2008»
15 years 11 days ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
114
Voted
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 1 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
IPPS
2009
IEEE
15 years 7 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
TSE
2002
122views more  TSE 2002»
15 years 1 days ago
Virtual Benchmarking and Model Continuity in Prototyping Embedded Multiprocessor Signal Processing Systems
The complexity of hardware/software codesign of embedded real-time signal processing systems can be reduced by rapid system prototyping (RSP). However, existing RSP frameworks do n...
Randall S. Janka, Linda M. Wills, Lewis B. Baumsta...
122
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PVLDB
2008
160views more  PVLDB 2008»
14 years 12 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...