high-level programming abstractions, capable of simplifying the programming chore without sacrificing efficiency, has been long recognized and several solutions have been hitherto...
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
As personal health sensors become ubiquitous, we also expect them to become interoperable. That is, instead of closed, end-to-end personal health sensing systems, we envision stand...
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
Orphan requests are a significant problem for multi-tier distributed systems since they adversely impact system correctness by violating the exactly-once semantics of application...