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ECML
2001
Springer
14 years 1 months ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
BMCBI
2008
115views more  BMCBI 2008»
13 years 9 months ago
Improving peptide-MHC class I binding prediction for unbalanced datasets
Background: Establishment of peptide binding to Major Histocompatibility Complex class I (MHCI) is a crucial step in the development of subunit vaccines and prediction of such bin...
Ana Paula Sales, Georgia D. Tomaras, Thomas B. Kep...
ACL
2003
13 years 10 months ago
Automatic Error Detection in the Japanese Learners' English Spoken Data
This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection wi...
Emi Izumi, Kiyotaka Uchimoto, Toyomi Saiga, Thepch...
LREC
2010
160views Education» more  LREC 2010»
13 years 10 months ago
Fine-Grained Geographical Relation Extraction from Wikipedia
In this paper, we present work on enhancing the basic data resource of a context-aware system. First, we introduce a supervised approach to extracting geographical relations on a ...
André Blessing, Hinrich Schütze
ML
2000
ACM
124views Machine Learning» more  ML 2000»
13 years 8 months ago
Text Classification from Labeled and Unlabeled Documents using EM
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. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...