Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Abstract. Multi-figure m-reps allow us to represent and analyze a complex anatomical object by its parts, by relations among its parts, and by the object itself as a whole entity. ...
Qiong Han, Stephen M. Pizer, Derek Merck, Sarang C...
We describe a prototype Context Aware Perioperative Information System to capture and interpret data in an operating room of the future. The captured data is used to construct the...
Sheetal K. Agarwal, Anupam Joshi, Timothy W. Finin...
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
This paper proposes an approach to mixed environment training of manual tasks requiring concurrent use of psychomotor and cognitive skills. To train concurrent use of both skill s...
Aaron Kotranza, D. Scott Lind, Carla M. Pugh, Benj...