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» A supervised learning approach for imbalanced data sets
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EMNLP
2009
13 years 5 months ago
Supervised Models for Coreference Resolution
Traditional learning-based coreference resolvers operate by training a mentionpair classifier for determining whether two mentions are coreferent or not. Two independent lines of ...
Md. Altaf ur Rahman, Vincent Ng
ICML
2009
IEEE
14 years 8 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing
IJCNN
2008
IEEE
14 years 2 months ago
Learning associations of conjuncted fuzzy sets for data prediction
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
Hanlin Goh, Joo-Hwee Lim, Chai Quek
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Two-Step Classification Approach to Unsupervised Record Linkage
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
Peter Christen
EMNLP
2010
13 years 5 months ago
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
Longhua Qian, Guodong Zhou