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116
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LPNMR
2007
Springer
15 years 6 months ago
Using Answer Sets to Solve Belief Change Problems
We describe BE, an implemented system for solving belief change problems in the presence of actions. We illustrate how we can use BE to compute the result of belief progression, be...
Aaron Hunter, James P. Delgrande, Joel Faber
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 23 days ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...

Publication
255views
13 years 10 months ago
Ant-Q Hyper-Heuristic Approach for solving 2-Dimensional Cutting Stock Problem
Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristi...
Imen Khamassi, Moez Hammami, Khaled Ghédira
87
Voted
3DIM
2003
IEEE
15 years 6 months ago
Solving architectural modelling problems using knowledge
This paper summarizes a series of recent research results made at Edinburgh University based applying domain knowledge of standard shapes and relationships to solve or improve arc...
Robert B. Fisher
82
Voted
FLAIRS
1998
15 years 2 months ago
Discovering Heuristic Strategy for Solving Scheduling Problems
Optimallysolving a scheduling problemis computationally intractable, hencevarieties of techniques and methodshave been explored to obtain sub-optimal solutions to such problems. I...
Rasiah Loganantharaj