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» Learning relational dependency networks in hybrid domains
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PG
2002
IEEE
14 years 3 months ago
Augmenting Computer Graphics with Haptics for the Visualization of Vessel Networks
Current visualization methods of volume angiograms are limited in their ability to display vessel connectivity and depth information readily available in the data set. In this wor...
Dingrong Yi, Vincent Hayward
FLAIRS
2008
14 years 1 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
ICML
2008
IEEE
14 years 11 months ago
Semi-supervised learning of compact document representations with deep networks
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
Marc'Aurelio Ranzato, Martin Szummer
BMCBI
2008
83views more  BMCBI 2008»
13 years 11 months ago
Terminologies for text-mining; an experiment in the lipoprotein metabolism domain
Background: The engineering of ontologies, especially with a view to a text-mining use, is still a new research field. There does not yet exist a well-defined theory and technolog...
Dimitra Alexopoulou, Thomas Wächter, Laura Pi...
ML
1998
ACM
136views Machine Learning» more  ML 1998»
13 years 10 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair