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IJCAI
1997
13 years 9 months ago
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
Rina Dechter
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
14 years 2 hour ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
AIPS
2007
13 years 10 months ago
Robust Local Search and Its Application to Generating Robust Schedules
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
Hoong Chuin Lau, Thomas Ou, Fei Xiao
IPPS
2005
IEEE
14 years 1 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-the-shelf systems are not designed for high reliability. Node failures therefore...
Sebastian Gerlach, Roger D. Hersch
ICPR
2006
IEEE
14 years 8 months ago
A Unified Formulation of Invariant Point Pattern Matching
We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model....
Terry Caelli, Tibério S. Caetano