1351 search results - page 11 / 271 » Learning from compressed observations |
ICML
1999
IEEE
13 years 11 months ago
1999
IEEE
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...
IDEAL
2000
Springer
13 years 11 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
ICML
1995
IEEE
14 years 8 months ago
1995
IEEE
This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...