Run-time monitoring is a powerful approach for dynamically detecting faults or malicious activity of software systems. However, there are often two obstacles to the implementation...
Natalia Stakhanova, Samik Basu, Robyn R. Lutz, Joh...
—It is proposed that the creation of Artificial General Intelligence (AGI) at the human level and ultimately beyond is a problem addressable via integrating computer science algo...
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
: This paper formalizes UML class diagrams and structural patterns as mathematical objects and provides a precise notion of conformance of a structural model specified as a class d...
In this paper, we have presented the design and evaluation of a compiler system, called APE,for automatic parallelization of scientific and engineering applications on distributed...