Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...
Client-server architectures with clients on divergent platforms are in need of services that serve a high level of interoperability and a loose binding. It should be prevented tha...
Barbara Van De Keer, Dieter Van Rijsselbergen, Eri...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...