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» Data parallel programming in an adaptive environment
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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
PADS
2005
ACM
14 years 1 months ago
The WarpIV Simulation Kernel
ct This paper provides an overview of the WarpIV Simulation Kernel that was designed to be an initial implementation of the Standard Simulation Architecture (SSA). WarpIV is the ne...
Jeffrey S. Steinman
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
12 years 11 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
ICSE
2008
IEEE-ACM
14 years 8 months ago
Testing pervasive software in the presence of context inconsistency resolution services
Pervasive computing software adapts its behavior according to the changing contexts. Nevertheless, contexts are often noisy. Context inconsistency resolution provides a cleaner pe...
Heng Lu, W. K. Chan, T. H. Tse
ISMM
2009
Springer
14 years 2 months ago
Discrete Driver Assistance
Applying computer technology, such as computer vision in driver assistance, implies that processes and data are modeled as being discretized rather than being continuous. The area ...
Reinhard Klette, Ruyi Jiang, Sandino Morales, Tobi...