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COMPSAC
2009
IEEE
15 years 4 months ago
Software Input Space Modeling with Constraints among Parameters
—This paper considers the task of software test case generation from a large space of values of input parameters. The purpose of the paper is to create a model of software input ...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
RSS
2007
176views Robotics» more  RSS 2007»
14 years 11 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
CORR
2007
Springer
88views Education» more  CORR 2007»
14 years 9 months ago
The Parallel-Sequential Duality : Matrices and Graphs
Abstract. Usually, mathematical objects have highly parallel interpretations. In this paper, we consider them as sequential constructors of other objects. In particular, we prove t...
Serge Burckel
CVPR
2005
IEEE
15 years 11 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
COLT
2007
Springer
15 years 3 months ago
Bounded Parameter Markov Decision Processes with Average Reward Criterion
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
Ambuj Tewari, Peter L. Bartlett