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» Learning from Highly Structured Data by Decomposition
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LWA
2007
14 years 11 months ago
Position Paper: Ontology Learning from Folksonomies
The emergence of collaborative tagging systems with their underlying flat and uncontrolled resource organization paradigm has led to a large number of research activities focussi...
Dominik Benz, Andreas Hotho
BMCBI
2007
95views more  BMCBI 2007»
14 years 9 months ago
Methods for estimating human endogenous retrovirus activities from EST databases
Background: Human endogenous retroviruses (HERVs) are surviving traces of ancient retrovirus infections and now reside within the human DNA. Recently HERV expression has been dete...
Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel...
ICTAI
2006
IEEE
15 years 3 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 7 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
TNN
1998
123views more  TNN 1998»
14 years 9 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti