298 citations
- Norfolk State UniversityUS3 papers
- California University of PennsylvaniaUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Georgia Institute of TechnologyUS2 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- Lawrence Livermore National LaboratoryUS2 papers
- NIST Center for Neutron ResearchUS2 papers
- Princeton UniversityUS2 papers
- Sandia National Laboratories CaliforniaUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of MichiganUS2 papers
- University of PennsylvaniaUS2 papers
4 papers · 2 filters
Active Imitation Learning via Reduction to I.I.D. Active Learning
Kshitij Judah, Alan Fern, Thomas G. Dietterich
In standard passive imitation learning, the goal is to learn a target policy by passively observing full execution trajectories of it. Unfortunately, generating such trajectories c…
Learning from Sparse Data by Exploiting Monotonicity Constraints
Eric E. Altendorf, Angelo C. Restificar, Thomas G. Dietterich
When training data is sparse, more domain knowledge must be incorporated into the learning algorithm in order to reduce the effective size of the hypothesis space. This paper build…
Output Space Search for Structured Prediction
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
We consider a framework for structured prediction based on search in the space of complete structured outputs. Given a structured input, an output is produced by running a time-bou…
Batch Active Learning via Coordinated Matching
Javad Azimi, Alan Fern, Xiaoli Zhang-Fern +2
Most prior work on active learning of classifiers has focused on sequentially selecting one unlabeled example at a time to be labeled in order to reduce the overall labeling effort…