84 search results - page 6 / 17 » Negative Training Data Can be Harmful to Text Classification |
96
Voted
IPM
2002
14 years 9 months ago
2002
This paper proposes a new approach for classifying text documents into two disjoint classes. The new approach is based on extracting patterns, in the form of two logical expressio...
TREC
2004
14 years 11 months ago
2004
Gene Ontology (GO) is a controlled vocabulary. Given a gene product, GO enables scientists to clearly and unambiguously describe specific molecular functions of the gene product, ...
DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
97
Voted
ICML
2005
IEEE
15 years 10 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...