105 search results - page 4 / 21 » Persistence in discrete optimization under data uncertainty |
96
Voted
TROB
2010
14 years 4 months ago
2010
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
MP
2006
14 years 9 months ago
2006
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
90
Voted
CCE
2004
14 years 9 months ago
2004
In this paper we provide a general classification of mathematical optimization problems, followed by a matrix of applications that shows the areas in which these problems have bee...
UAI
2004
14 years 10 months ago
2004
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
JMIV
2006
14 years 9 months ago
2006
This paper deals with the total variation minimization problem in image restoration for convex data fidelityfunctionals.Weproposeanewandfastalgorithmwhichcomputesanexactsolutionint...