Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
Abstract - Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex re...
Some applications for real-time scheduling have target demands in addition to the commonly used starttime and deadline constraints: a task should be executed at a target point in ...
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Abstract Ontology alignment is an important task for information integration systems that can make different resources, described by various and heterogeneous ontologies, interoper...