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» Debugging Program Loops Using Approximate Modeling
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MP
2006
107views more  MP 2006»
14 years 10 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
EMMCVPR
2005
Springer
15 years 3 months ago
Linear Programming Matching and Appearance-Adaptive Object Tracking
Abstract. In this paper, we present a novel successive relaxation linear programming scheme for solving the important class of consistent labeling problems for which an L1 metric i...
Hao Jiang, Mark S. Drew, Ze-Nian Li
VMCAI
2004
Springer
15 years 3 months ago
Construction of a Semantic Model for a Typed Assembly Language
Typed Assembly Languages (TALs) can be used to validate the safety of assembly-language programs. However, typing rules are usually trusted as axioms. In this paper, we show how to...
Gang Tan, Andrew W. Appel, Kedar N. Swadi, Dinghao...
ICML
2002
IEEE
15 years 10 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
LICS
2002
IEEE
15 years 2 months ago
Probabilistic Abstraction for Model Checking: An Approach Based on Property Testing
istic Abstraction for Model Checking: an Approach Based on Property Testing∗ Sophie Laplante† Richard Lassaigne‡ Fr´ed´eric Magniez§ Sylvain Peyronnet† Michel de Rougemo...
Sophie Laplante, Richard Lassaigne, Fréd&ea...