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» Hierarchical exploration of large multivariate data sets
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DRR
2009
14 years 7 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
ICML
2000
IEEE
15 years 10 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
APVIS
2001
14 years 11 months ago
View Coordination Architecture for Information Visualisation
A view is a particular visual representation of a data set. Complex data sets typically require multiple views, each revealing a different aspect of the data. Coordinating the beh...
Tim Pattison, Matthew Phillips
CGA
2006
14 years 9 months ago
The Distance-Similarity Metaphor in Region-Display Spatializations
n explore and understand abstract information spaces as if they were real geographic spaces. According to the distance-similarity metaphor1 one of the most popular spatial metaphor...
Sara Irina Fabrikant, Daniel R. Montello, David M....
RIAO
2007
14 years 11 months ago
Homepage Finding in Hybrid Peer-to-Peer Networks
This paper illustrates a ranking scheme which combines fulltext, anchor text and URL structure for homepage finding in hybrid peer-to-peer networks. The experimental results show...
Enrico Bragante, Massimo Melucci