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» Gaussian Processes in Reinforcement Learning
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ACML
2009
Springer
14 years 4 months ago
Automatic Choice of Control Measurements
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
Gayle Leen, David R. Hardoon, Samuel Kaski
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 3 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 11 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
CVIU
2011
13 years 1 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
14 years 4 months ago
Monocular range sensing: A non-parametric learning approach
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...
Christian Plagemann, Felix Endres, Juergen Michael...