When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
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...
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...
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....
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...