23 search results - page 2 / 5 » Semi-supervised Document Classification with a Mislabeling E... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
ML
2000
ACM
13 years 7 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...