1020 search results - page 67 / 204 » Learning to Use Operational Advice |
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
In this paper, we present a system capable of dynamically learning shapes in a way that also allows for the dynamic deletion of shapes already learned. It uses a self-balancing Bin...
IJRR
2010
13 years 8 months ago
2010
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
EUROCOLT
1999
Springer
14 years 2 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
ICCV
2005
IEEE
14 years 3 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...