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» Piecemeal Learning of an Unknown Environment
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JNCA
2007
136views more  JNCA 2007»
13 years 9 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
13 years 8 months ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard
AE
2003
Springer
14 years 3 months ago
The Evolutionary Control Methodology: An Overview
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...
Mauro Annunziato, Ilaria Bertini, M. Lucchetti, Al...
ICRA
2006
IEEE
132views Robotics» more  ICRA 2006»
14 years 3 months ago
Speeding-up Multi-robot Exploration by Considering Semantic Place Information
— In this paper, we consider the problem of exploring an unknown environment with a team of mobile robots. One of the key issues in multi-robot exploration is how to assign targe...
Cyrill Stachniss, Óscar Martínez Moz...
DATAMINE
2008
143views more  DATAMINE 2008»
13 years 10 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...