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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 9 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 8 months ago
Dynamic optimization of migration topology in internet-based distributed genetic algorithms
Distributed Genetic Algorithms (DGAs) designed for the Internet have to take its high communication cost into consideration. For island model GAs, the migration topology has a maj...
Johan Berntsson, Maolin Tang
WSC
2008
15 years 5 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
14 years 10 months ago
Generalized multicircumcenter trajectories for optimal design under near-independence
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
Rishi Graham, Jorge Cortés
ESA
2006
Springer
82views Algorithms» more  ESA 2006»
15 years 7 months ago
Preemptive Online Scheduling: Optimal Algorithms for All Speeds
Our main result is an optimal online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize makespan. The algorithm is deterministic, yet...
Tomás Ebenlendr, Wojciech Jawor, Jiri Sgall