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» Approximations in Distributed Optimization
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ISPD
2009
ACM
141views Hardware» more  ISPD 2009»
15 years 9 months ago
A faster approximation scheme for timing driven minimum cost layer assignment
As VLSI technology moves to the 65nm node and beyond, interconnect delay greatly limits the circuit performance. As a critical component in interconnect synthesis, layer assignmen...
Shiyan Hu, Zhuo Li, Charles J. Alpert
BMCBI
2006
138views more  BMCBI 2006»
15 years 2 months ago
Approximation properties of haplotype tagging
Background: Single nucleotide polymorphisms (SNPs) are locations at which the genomic sequences of population members differ. Since these differences are known to follow patterns,...
Staal A. Vinterbo, Stephan Dreiseitl, Lucila Ohno-...
145
Voted
UAI
2008
15 years 4 months ago
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Richard S. Sutton, Csaba Szepesvári, Alborz...
135
Voted
ICPP
2002
IEEE
15 years 7 months ago
Optimal Video Replication and Placement on a Cluster of Video-on-Demand Servers
A cost-effective approach to building up scalable Videoon-Demand (VoD) servers is to couple a number of VoD servers together in a cluster. In this article, we study a crucial vide...
Xiaobo Zhou, Cheng-Zhong Xu
136
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UAI
2004
15 years 3 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper