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» Inferring Knowledge from a Large Semantic Network
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UAI
2008
15 years 1 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
NIPS
2008
15 years 1 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
VLDB
1994
ACM
127views Database» more  VLDB 1994»
15 years 4 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton
WIKIS
2010
ACM
15 years 2 days ago
ThinkFree: using a visual Wiki for IT knowledge management in a tertiary institution
We describe ThinkFree, an industrial Visual Wiki application which provides a way for end users to better explore knowledge of IT Enterprise Architecture assets that is held withi...
Christian Hirsch, John G. Hosking, John C. Grundy,...
EWCBR
2008
Springer
15 years 1 months ago
Semantics and Experience in the Future Web
Abstract. The Web is a vibrant environment for innovation in computer science, AI, and social interaction; these innovations come in such great number and speed that it is unlikely...
Enric Plaza