46 search results - page 4 / 10 » The Learning Power of Belief Revision |
EUSFLAT
2007
13 years 9 months ago
2007
This paper introduces a new approach to adjust a class of neurofuzzy networks based on the idea of participatory learning. Participatory learning is a mean to learn and revise bel...
NECO
2008
13 years 7 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
JMLR
2010
13 years 2 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
LORI
2009
Springer
14 years 2 months ago
2009
Springer
We propose a dynamic testimonial logic (DTL) to model communication and belief change among agents with different dispositions to trust each other as information sources. DTL is ...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...