names in the same abstract already indicates a relation between them. Because of its simplicity, we can apply this approach to large amounts of text and establish interaction netwo...
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...