3837 search results - page 19 / 768 » Learning Approximate Consistencies |
COLT
2000
Springer
15 years 1 months ago
2000
Springer
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
RSFDGRC
2005
Springer
15 years 2 months ago
2005
Springer
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...