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» Learning with Local and Global Consistency
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ROCAI
2004
Springer
15 years 11 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
IROS
2007
IEEE
119views Robotics» more  IROS 2007»
16 years 11 days ago
Scalable SLAM building conditionally independent local maps
— Local maps algorithms have demonstrated to be well suited for mapping large environments as can reduce the computational cost and improve the consistency of the final estimati...
Pedro Pinies, Juan D. Tardós
ANTSW
2008
Springer
15 years 8 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
ICML
2003
IEEE
16 years 6 months ago
Q-Decomposition for Reinforcement Learning Agents
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
Stuart J. Russell, Andrew Zimdars
ICRA
2002
IEEE
142views Robotics» more  ICRA 2002»
15 years 11 months ago
Hybrid Simultaneous Localization and Map Building: Closing the Loop with Multi-Hypotheses Tracking
In this paper simultaneous localization and map building is performed with a hybrid, metric - topological, approach. A global topological map connects local metric maps, allowing ...
Nicola Tomatis, Illah R. Nourbakhsh, Roland Siegwa...