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FLAIRS
2009
13 years 8 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
JCIT
2010
160views more  JCIT 2010»
13 years 5 months ago
TOPSIS Method for Multiple Attribute Decision Making with Incomplete Weight Information in Linguistic Setting
The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incomplete...
Jianli Wei
SIAMNUM
2010
118views more  SIAMNUM 2010»
13 years 5 months ago
Discontinuous Galerkin Methods for Solving Elliptic Variational Inequalities
Abstract. We study discontinuous Galerkin methods for solving elliptic variational inequalities, of both the first and second kinds. Analysis of numerous discontinuous Galerkin sch...
Fei Wang, Weimin Han, Xiao-Liang Cheng
ICASSP
2011
IEEE
13 years 2 months ago
Stochastic transceiver design in multi-antenna channels with statistical channel state information
The problem of stochastic robust sum mean square error (MSE) minimization transceiver design is addressed for multiple-input multiple-output (MIMO) broadcast channels (BCs). The t...
Andreas Gründinger, Michael Joham, Wolfgang U...
INFOCOM
2012
IEEE
12 years 1 months ago
Sparse recovery with graph constraints: Fundamental limits and measurement construction
—This paper addresses the problem of sparse recovery with graph constraints in the sense that we can take additive measurements over nodes only if they induce a connected subgrap...
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang