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» Solving Hierarchical Optimization Problems Using MOEAs
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IJCAI
2001
14 years 4 days ago
Adaptive Control of Acyclic Progressive Processing Task Structures
The progressive processing model allows a system to trade off resource consumption against the quality of the outcome by mapping each activity to a graph of potential solution met...
Stéphane Cardon, Abdel-Illah Mouaddib, Shlo...
UAI
2004
14 years 3 days ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
WSCG
2004
142views more  WSCG 2004»
14 years 3 days ago
Metropolis Iteration for Global Illumination
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
László Szirmay-Kalos, Bálazs ...
CGF
2008
118views more  CGF 2008»
13 years 11 months ago
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics
We present a generalization of thin-plate splines for interpolation and approximation of manifold-valued data, and demonstrate its usefulness in computer graphics with several app...
Florian Steinke, Matthias Hein, Jan Peters, Bernha...
DM
2006
63views more  DM 2006»
13 years 10 months ago
Efficient crossover designs for comparing test treatments with a control treatment
Within a large family of crossover designs this paper characterizes the mathematical structures of A-optimal and A-efficient crossover designs for the purpose of statistical compa...
A. Sadam Hedayat, Min Yang