We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
Abstract. The use of Information and Communication Technology (ICT) in education is one important competence that student teacher should develop in their academic studies. To be ca...
How to merge and organise query results retrieved from different resources is one of the key issues in distributed information retrieval. Some previous research and experiments su...