Learning classifiers for multiple-label data analysis

Details Learning classifiers for multiple-label data analysis Learning classifiers for multiple-label data analysis

2007-10-23

2011-11-08

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Machine learning

Reexamination Certificate

active

08055593

ABSTRACT:
A method for multiple-label data analysis includes: obtaining labeled data points from more than one labeler; building a classifier that maximizes a measure relating the data points, labels on the data points and a predicted output label; and assigning an output label to an input data point by using the classifier.

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