Support for optimistic parallelism such as thread-level speculation (TLS) and transactional memory (TM) has been proposed to ease the task of parallelizing software to exploit the...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
The success of mass spectrometry-based proteomics in emerging applications such as biomarker discovery and clinical diagnostics, is predicated substantially on its ability to achie...
Thodoros Topaloglou, Moyez Dharsee, Rob M. Ewing, ...
In this paper we present algorithms for identifying interesting subsets of a given database of records. In many real life applications, it is important to automatically discover s...
: The purpose of this research was to develop an approach to artifact design based on information technology. To make interactive systems easy to use, many companies utilize a user...