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JCP
2007
143views more  JCP 2007»
14 years 9 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
DATE
2010
IEEE
134views Hardware» more  DATE 2010»
14 years 8 months ago
Combining optimizations in automated low power design
—Starting from sequential programs, we present an approach combining data reuse, multi-level MapReduce, and pipelining to automatically find the most power-efficient designs th...
Qiang Liu, Tim Todman, Wayne Luk
ITCC
2000
IEEE
15 years 2 months ago
Parallel Real-Time Numerical Computation: Beyond Speedup III
Parallel computers can do more than simply speed up sequential computations. They are capable of nding solutions that are far better in quality than those obtained by sequential c...
Selim G. Akl, Stefan D. Bruda
FAST
2007
14 years 11 months ago
AMP: Adaptive Multi-stream Prefetching in a Shared Cache
Abstract— Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. Th...
Binny S. Gill, Luis Angel D. Bathen
CORR
2010
Springer
100views Education» more  CORR 2010»
14 years 10 months ago
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
Raja Giryes, Michael Elad, Yonina C. Eldar