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AI
2002
Springer
13 years 8 months ago
Learning Bayesian networks from data: An information-theory based approach
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 ...
MTA
2011
263views Hardware» more  MTA 2011»
13 years 3 months ago
Event detection and recognition for semantic annotation of video
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,...
ICSE
2007
IEEE-ACM
14 years 8 months ago
Modeling in Software Engineering
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...
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 7 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
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
WIKIS
2006
ACM
14 years 2 months ago
Towards Wikis as semantic hypermedia
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 ...
Robert Tolksdorf, Elena Paslaru Bontas Simperl