8970 search results - page 306 / 1794 » Learning to Learn Causal Models |
191
click to vote
ICCV
2001
IEEE
16 years 8 months ago
2001
IEEE
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
170
click to vote
ICANN
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
157
click to vote
KES
2005
Springer
16 years 7 days ago
2005
Springer
One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do n...
156
click to vote
COGSCI
2008
15 years 6 months ago
2008
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
211
click to vote
NEUROSCIENCE
2001
Springer
15 years 11 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...