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» Randomization for Multi-agent Constraint Optimization
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STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 8 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
AAAI
2004
13 years 9 months ago
Interactive Information Extraction with Constrained Conditional Random Fields
Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...
ICIP
2003
IEEE
14 years 9 months ago
A novel cost-distortion optimization framework for video streaming over differentiated services networks
This paperpresentsa novel framework for streamingvideo over a Differentiated Services (DifPjew) network that jointly considers video source coding. packet classification and error...
Fan Zhai, Yiftach Eisenberg, Carlos E. Luna, Thras...
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 7 months ago
A Semidefinite Relaxation for Air Traffic Flow Scheduling
We first formulate the problem of optimally scheduling air traffic low with sector capacity constraints as a mixed integer linear program. We then use semidefinite relaxation tech...
Alexandre d'Aspremont, Laurent El Ghaoui
CORR
2006
Springer
115views Education» more  CORR 2006»
13 years 7 months ago
Entropy-optimal Generalized Token Bucket Regulator
Abstract-- We derive the maximum entropy of a flow (information utility) which conforms to traffic constraints imposed by a generalized token bucket regulator, by taking into accou...
Ashutosh Deepak Gore, Abhay Karandikar