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» Geometric constraint satisfaction using optimization methods
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ICML
2009
IEEE
16 years 2 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
117
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CEC
2010
IEEE
15 years 2 months ago
Geometric Nelder-Mead Algorithm for the permutation representation
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
Alberto Moraglio, Julian Togelius
MCS
2008
Springer
15 years 1 months ago
A nonsmooth Newton's method for control-state constrained optimal control problems
We investigate optimal control problems subject to mixed control-state constraints. The necessary conditions are stated in terms of a local minimum principle. By use of the Fischer...
Matthias Gerdts
CP
2008
Springer
15 years 3 months ago
Solving a Telecommunications Feature Subscription Configuration Problem
Abstract. Call control features (e.g., call-divert, voice-mail) are primitive options to which users can subscribe off-line to personalise their service. The configuration of a fea...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...
ECCV
2002
Springer
16 years 3 months ago
Another Way of Looking at Plane-Based Calibration: The Centre Circle Constraint
Abstract. The plane-based calibration consists in recovering the internal parameters of the camera from the views of a planar pattern with a known geometric structure. The existing...
Alain Crouzil, Pierre Gurdjos, René Payriss...