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» Linear decomposition algorithm for VLSI design applications
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PRICAI
2000
Springer
15 years 7 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
PDCN
2004
15 years 5 months ago
Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization
A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. These complementary tools and technologies are us...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...
DAC
2009
ACM
16 years 4 months ago
Mode grouping for more effective generalized scheduling of dynamic dataflow applications
For a number of years, dataflow concepts have provided designers of digital signal processing systems with environments capable of expressing high-level software architectures as ...
William Plishker, Nimish Sane, Shuvra S. Bhattacha...
TIT
2010
141views Education» more  TIT 2010»
14 years 10 months ago
Distributed averaging via lifted Markov chains
Abstract--Motivated by applications of distributed linear estimation, distributed control, and distributed optimization, we consider the question of designing linear iterative algo...
Kyomin Jung, Devavrat Shah, Jinwoo Shin
CVPR
2010
IEEE
15 years 1 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel