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» Constraint relaxation in approximate linear programs
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FOCS
2005
IEEE
15 years 6 months ago
Approximation Algorithms for Unique Games
We present a polynomial time algorithm based on semidefinite programming that, given a unique game of value 1 − O(1/ log n), satisfies a constant fraction of constraints, wher...
Luca Trevisan
100
Voted
IDA
2005
Springer
15 years 6 months ago
Miner Ants Colony: A New Approach to Solve a Mine Planning Problem
In this paper we introduce a simple ant based algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear intege...
María-Cristina Riff, Michael Moossen, Xavie...
127
Voted
MP
2007
145views more  MP 2007»
14 years 12 months ago
Machine scheduling with resource dependent processing times
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
Alexander Grigoriev, Maxim Sviridenko, Marc Uetz
ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
15 years 7 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...
110
Voted
ICML
2004
IEEE
16 years 1 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...