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UAI
2000
13 years 9 months ago
Tractable Bayesian Learning of Tree Belief Networks
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Marina Meila, Tommi Jaakkola
IJCV
2007
196views more  IJCV 2007»
13 years 7 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
JASIS
1998
99views more  JASIS 1998»
13 years 7 months ago
Electronic News Delivery Project
An appreciation of the roles of genre and task is important in understanding how people browse the Web. Genre is characterized by content and form and is intimately linked to the ...
Carolyn R. Watters, Michael A. Shepherd, Forbes J....
IUI
2004
ACM
14 years 1 months ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
ESWS
2010
Springer
13 years 9 months ago
An Unsupervised Approach for Acquiring Ontologies and RDF Data from Online Life Science Databases
In the Linked Open Data cloud one of the largest data sets, comprising of 2.5 billion triples, is derived from the Life Science domain. Yet this represents a small fraction of the ...
Saqib Mir, Steffen Staab, Isabel Rojas