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» Towards Optimal Bayesian Algorithmic Mechanism Design
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SAB
2010
Springer
189views Optimization» more  SAB 2010»
14 years 8 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
LCTRTS
2010
Springer
15 years 4 months ago
Elastic computing: a framework for transparent, portable, and adaptive multi-core heterogeneous computing
Over the past decade, system architectures have started on a clear trend towards increased parallelism and heterogeneity, often resulting in speedups of 10x to 100x. Despite numer...
John Robert Wernsing, Greg Stitt
IPPS
1999
IEEE
15 years 2 months ago
A Formal Framework for Specifying and Verifying Time Warp Optimizations
Parallel and distributed systems are representative of large and complex systems that require the application of formal methods. These systems are often unreliable because implemen...
Victoria Chernyakhovsky, Peter Frey, Radharamanan ...
WSCG
2004
155views more  WSCG 2004»
14 years 11 months ago
NURBS Fairing by Knot Vector Optimization
The shape of a NURBS curve or patch is defined by the location of its control points, the weights associated with these points, and the parameter intervals, also called the knot v...
Barnabás Aszódi, Szabolcs Czuczor, L...
CLUSTER
2008
IEEE
15 years 4 months ago
Active storage using object-based devices
—The increasing performance and decreasing cost of processors and memory are causing system intelligence to move from the CPU to peripherals such as disk drives. Storage system d...
Tina Miriam John, Anuradharthi Thiruvenkata Ramani...