15 search results - page 3 / 3 » Adaptive Submodularity: A New Approach to Active Learning an... |
EMNLP
2008
13 years 6 months ago
2008
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
COLT
2008
Springer
13 years 7 months ago
2008
Springer
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
MICAI
2010
Springer
13 years 3 months ago
2010
Springer
The full deployment of service robots in daily activities will require the robot to adapt to the needs of non-expert users, particularly, to learn how to perform new tasks from “...
IWLCS
2001
Springer
13 years 9 months ago
2001
Springer
In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment conta...