Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilin...
The growth of available entertainment information services, such as movies and CD listings, or travels and recreational activities, raises a need for personalization techniques for...
There are many different process meta-models that offer different viewpoints of a same process: activity oriented, product oriented, decision oriented, context oriented and strateg...