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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 6 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
PR
2000
158views more  PR 2000»
13 years 8 months ago
Applying deformable templates for cell image segmentation
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
Antonio Garrido Carrillo, Nicolas Pérez de ...
PAMI
2010
190views more  PAMI 2010»
13 years 3 months ago
Linear Regression for Face Recognition
In this paper, we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
Imran Naseem, Roberto Togneri, Mohammed Bennamoun
ATAL
2009
Springer
14 years 3 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
VLSID
2002
IEEE
107views VLSI» more  VLSID 2002»
14 years 9 months ago
Automatic Model Refinement for Fast Architecture Exploration
We present a methodology and algorithms for automatic refinement from a given design specification to an architecture model based on decisions in architecture exploration. An arch...
Junyu Peng, Samar Abdi, Daniel Gajski