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» Parametric Aspects: A Proposal
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TSMC
2008
84views more  TSMC 2008»
15 years 6 months ago
Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots
We propose a technique to speedup the learning of the inverse kinematics of a robot manipulator by decomposing it into two or more virtual robot arms. Unlike previous decomposition...
Vicente Ruiz de Angulo, Carme Torras
CORR
2002
Springer
106views Education» more  CORR 2002»
15 years 6 months ago
On model selection and the disability of neural networks to decompose tasks
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...
Marc Toussaint
TSMC
1998
97views more  TSMC 1998»
15 years 6 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
SIAMNUM
2010
85views more  SIAMNUM 2010»
15 years 1 months ago
Geometrically Consistent Mesh Modification
A new paradigm of adaptivity is to execute refinement, coarsening, and smoothing of meshes on manifolds with incomplete information about their geometry and yet preserve position a...
A. Bonito, R. H. Nochetto, M. S. Pauletti
AOSD
2005
ACM
15 years 12 months ago
Towards a catalog of aspect-oriented refactorings
In this paper, we present a collection of aspect-oriented refactorings covering both the extraction of aspects from objectoriented legacy code and the subsequent tidying up of the...
Miguel P. Monteiro, João M. Fernandes