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» A supervised learning approach for imbalanced data sets
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ICASSP
2010
IEEE
13 years 9 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
IJCSS
2000
86views more  IJCSS 2000»
13 years 8 months ago
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produce...
José Cristóbal Riquelme Santos, Jes&...
ICML
2010
IEEE
13 years 10 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
IEAAIE
2010
Springer
13 years 7 months ago
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem
The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the n...
Vicente García, José Salvador S&aacu...
AI
2003
Springer
14 years 2 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire