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DIS
2009
Springer
15 years 7 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 7 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
SDM
2009
SIAM
219views Data Mining» more  SDM 2009»
15 years 9 months ago
A Hybrid Data Mining Metaheuristic for the p-Median Problem.
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
103
Voted
SIAMJO
2010
83views more  SIAMJO 2010»
14 years 10 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
JDCTA
2010
272views more  JDCTA 2010»
14 years 7 months ago
Optimal Control of Nonlinear Systems Using the Homotopy Perturbation Method: Infinite Horizon Case
This paper presents a new method for solving a class of infinite horizon nonlinear optimal control problems. In this method, first the original optimal control problem is transfor...
Amin Jajarmi, Hamidreza Ramezanpour, Arman Sargolz...