215 search results - page 2 / 43 » Improving the Representation Space through Exception-Based L... |
ICRA
2009
IEEE
14 years 5 days ago
2009
IEEE
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
SLSFS
2005
Springer
13 years 11 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
AIIA
2007
Springer
13 years 11 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...