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» Using Machine Learning to Focus Iterative Optimization
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ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 9 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
WWW
2006
ACM
16 years 3 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
IJRR
2008
151views more  IJRR 2008»
15 years 2 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
15 years 8 months ago
Iterated filters for bearing-only SLAM
— This paper discusses the importance of iteration when performing the measurement update step for the problem of bearing-only SLAM. We focus on an undelayed approach that initia...
Stephen Tully, Hyungpil Moon, George Kantor, Howie...
IJON
2011
158views more  IJON 2011»
14 years 9 months ago
Maximal Discrepancy for Support Vector Machines
Several theoretical methods have been developed in the past years to evaluate the generalization ability of a classifier: they provide extremely useful insights on the learning ph...
Davide Anguita, Alessandro Ghio, Sandro Ridella