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» Learning semantic models from event logs
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ASM
2000
ASM
15 years 3 months ago
Modeling the Dynamics of UML State Machines
We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run...
Egon Börger, Alessandra Cavarra, Elvinia Ricc...
AAAI
2007
15 years 1 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...

Publication
383views
15 years 11 months ago
Hunting Nessie -- Real-Time Abnormality Detection from Webcams
We present a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
WWW
2005
ACM
16 years 22 hour ago
Browsing fatigue in handhelds: semantic bookmarking spells relief
Focused Web browsing activities such as periodically looking up headline news, weather reports, etc., which require only selective fragments of particular Web pages, can be made m...
Saikat Mukherjee, I. V. Ramakrishnan
TKDE
2010
224views more  TKDE 2010»
14 years 9 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela