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WWW
2009
ACM
15 years 5 months ago
Threshold selection for web-page classification with highly skewed class distribution
We propose a novel cost-efficient approach to threshold selection for binary web-page classification problems with imbalanced class distributions. In many binary-classification ta...
Xiaofeng He, Lei Duan, Yiping Zhou, Byron Dom
COLING
2008
15 years 4 hour ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
ESANN
2008
15 years 30 min ago
Classification of chestnuts with feature selection by noise resilient classifiers
In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which,...
Elena Roglia, Rossella Cancelliere, Rosa Meo
JMLR
2010
130views more  JMLR 2010»
14 years 5 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
NPL
2008
100views more  NPL 2008»
14 years 10 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot