In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Automatic repair of programs has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locati...
Westley Weimer, ThanhVu Nguyen, Claire Le Goues, S...
This paper provides initial analysis in identifying possible Web services composition using context-based semantic matching. Context-based semantic matching allows service composi...
The automatic identification of a user's task has the potential to improve information filtering systems that rely on implicit measures of interest and whose effectiveness ma...
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...