When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
Model checking can be an effective technique for detecting concurrency-related errors in software systems. However, due to scalability issues, to handle industrial-strength softw...
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Software constantly undergoes changes throughout its life cycle, and thereby it evolves. As changes are introduced into a code base, we need to make sure that the effect of the ch...
ng Implementations from Abstraction Functions Derek Rayside, Zev Benjamin, Rishabh Singh, Joseph P. Near, Aleksandar Milicevic and Daniel Jackson Computer Science and Artificial In...