Blogs have become an important medium for people to express opinions and share information on the web. Predicting the interests of bloggers can be beneficial for information retri...
Set agreement, where processors decisions constitute a set of outputs, is notoriously harder to analyze than consensus where the decisions are restricted to a single output. This ...
This paper investigates the use of supervised clustering in order to create sets of categories for classi cation of documents. We use information from a pre-existing taxonomy in o...
Categorized overviews of web search results are a promising way to support user exploration, understanding, and discovery. These search interfaces combine a metadata-based overvie...
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...