With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Automatic speech recognition (ASR) has reached very high levels of performance in controlled situations. However, the performance degrades significantly when environmental noise ...
Reversible computing is a paradigm where computing models are so defined that they reflect physical reversibility, one of the fundamental microscopic physical property of Nature. ...
Abstract. Temporal Constraint Satisfaction is an information technology useful for representing and answering queries about the times of events and the temporal relations between t...
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...