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» Adaptive Term Weighting through Stochastic Optimization
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CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 3 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
MICCAI
2007
Springer
14 years 8 months ago
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization
Energy functional minimization is an increasingly popular technique for image segmentation. However, it is far too commonly applied with hand-tuned parameters and initializations t...
Chris McIntosh, Ghassan Hamarneh
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 11 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
SIAMCO
2002
72views more  SIAMCO 2002»
13 years 7 months ago
Filtering of Nonlinear Stochastic Feedback Systems
This paper concerns the filtering problem for a class of stochastic nonlinear systems where the drift term may depend either on some external function (open-loop system) or on the ...
Francesco Carravetta, Alfredo Germani, Robert Sh. ...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule