2723 search results - page 66 / 545 » Learning lexicographic orders |
ICML
2008
IEEE
16 years 4 days ago
2008
IEEE
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
ICML
2006
IEEE
16 years 4 days ago
2006
IEEE
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
ICML
2009
IEEE
15 years 6 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
ICDAR
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...