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» Towards a model of understanding social search
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NIPS
2000
13 years 6 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
ICMLA
2004
13 years 6 months ago
LASSO: a learning architecture for semantic web ontologies
Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
Christopher N. Hammack, Stephen D. Scott
DGO
2006
136views Education» more  DGO 2006»
13 years 6 months ago
Automated classification of congressional legislation
For social science researchers, content analysis and classification of United States Congressional legislative activities has been time consuming and costly. The Library of Congre...
Stephen Purpura, Dustin Hillard
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 5 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
WISE
2009
Springer
14 years 2 months ago
Web Queries: From a Web of Data to a Semantic Web
ct One significant effort towards combining the virtues of Web search, viz. being accessible to untrained users and able to cope with vastly heterogeneous data, with those of dat...
François Bry, Tim Furche, Klara A. Weiand