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» Training Data Cleaning for Text Classification
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IDA
2002
Springer
14 years 11 months ago
Boosting strategy for classification
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...
BMCBI
2011
14 years 3 months ago
The Biomedical Discourse Relation Bank
Background: Identification of discourse relations, such as causal and contrastive relations, between situations mentioned in text is an important task for biomedical text-mining. ...
Rashmi Prasad, Susan McRoy, Nadya Frid, Aravind K....
EMNLP
2004
15 years 1 months ago
Instance-Based Question Answering: A Data-Driven Approach
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
Lucian Vlad Lita, Jaime G. Carbonell
AAAI
2008
15 years 2 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
WWW
2009
ACM
16 years 10 days ago
A class-feature-centroid classifier for text categorization
Automated text categorization is an important technique for many web applications, such as document indexing, document filtering, and cataloging web resources. Many different appr...
Hu Guan, Jingyu Zhou, Minyi Guo