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» Using Gaussian Processes to Optimize Expensive Functions
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PODC
2009
ACM
14 years 8 months ago
Concurrent imitation dynamics in congestion games
Imitating successful behavior is a natural and frequently applied approach to trust in when facing scenarios for which we have little or no experience upon which we can base our d...
Heiner Ackermann, Petra Berenbrink, Simon Fischer,...
BMCBI
2006
117views more  BMCBI 2006»
13 years 7 months ago
Gene Designer: a synthetic biology tool for constructing artificial DNA segments
Background: Direct synthesis of genes is rapidly becoming the most efficient way to make functional genetic constructs and enables applications such as codon optimization, RNAi re...
Alan Villalobos, Jon E. Ness, Claes Gustafsson, Je...
MASS
2010
119views Communications» more  MASS 2010»
13 years 5 months ago
Energy-efficient data redistribution in sensor networks
We address the energy-efficient data redistribution problem in data intensive sensor networks (DISNs). The key question in sensor networks with large volumes of sensory data is how...
Bin Tang, Neeraj Jaggi, Haijie Wu, Rohini Kurkal
POPL
2010
ACM
14 years 4 months ago
Continuity Analysis of Programs
We present an analysis to automatically determine if a program represents a continuous function, or equivalently, if infinitesimal changes to its inputs can only cause infinitesim...
Swarat Chaudhuri, Sumit Gulwani, Roberto Lublinerm...
CCO
2001
Springer
161views Combinatorics» more  CCO 2001»
14 years 1 days ago
Branch, Cut, and Price: Sequential and Parallel
Branch, cut, and price (BCP) is an LP-based branch and bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts and variables can be generat...
Laszlo Ladányi, Ted K. Ralphs, Leslie E. Tr...