Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Electronic mail poses a number of unusual challenges for the design of information retrieval systems and test collections, including informal expression, conversational structure,...
At CLEF 2009 the University of Hildesheim focused on the main task of the Intellectual Property Track which aims at finding prior art for a specified patent [cf. Information Retri...
Daniela Becks, Christa Womser-Hacker, Thomas Mandl...
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...