This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
In automatic speech recognition (ASR) enabled applications for medical dictations, corpora of literal transcriptions of speech are critical for training both speaker independent a...
Sergey V. Pakhomov, Michael Schonwetter, Joan Bach...
This paper presents an operational semantics for the core of Scheme. Our specification improves over the denotational semantics from the Revised5 Report on Scheme specification in...
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
—Developing service compositions, using multiple standards and implementation techniques, typically involves specifying service characteristics in different languages and tools. ...