82 search results - page 7 / 17 » Learning Programs: A Hierarchical Bayesian Approach |
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— The future of robots, as our companions is dependent on their ability to understand, interpret and represent the environment in a human compatible manner. Towards this ...
NIPS
2003
13 years 8 months ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
JMLR
2012
11 years 9 months ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
KI
2007
Springer
14 years 1 months ago
2007
Springer
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
IJCAI
2007
13 years 8 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...