This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Research on methods for detection and recognition of events and actions in videos is receiving an increasing attention from the scientific community, because of its relevance for ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
A data model is a plan for building a database and is comparable to an architect's building plans. There are two major methodologies used to create a data model: the EntityRe...
Joanne M. Atlee, Robert B. France, Geri Georg, Ana...
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Similarly to the Web Wikis have advanced from initially simple ad-hoc solutions to highly popular systems of widespread use. This evolution is reflected by the impressive number ...