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ICPR
2010
IEEE
13 years 5 months ago
Variational Mixture of Experts for Classification with Applications to Landmine Detection
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
Seniha Esen Yuksel, Paul D. Gader
KES
2007
Springer
14 years 1 months ago
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi R...
KDD
2001
ACM
156views Data Mining» more  KDD 2001»
14 years 8 months ago
Classification of genes using probabilistic models of microarray expression profiles
Paul Pavlidis, Christopher Tang, William Stafford ...
ICDM
2006
IEEE
105views Data Mining» more  ICDM 2006»
14 years 1 months ago
Learning to Use a Learned Model: A Two-Stage Approach to Classification
Maria-Luiza Antonie, Osmar R. Zaïane, Robert ...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin