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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 7
  3. International Journal of Machine Learning and Cybernetics : Volume 7, Issue 1, February 2016
  4. Feature and instance reduction for PNN classifiers based on fuzzy rough sets
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 6, December 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 5, October 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 3, June 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 2, April 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 1, February 2016
Feature and instance reduction for PNN classifiers based on fuzzy rough sets
An information fusion technology for triadic decision contexts
Large symmetric margin instance selection algorithm
A fast and robust face recognition approach combining Gabor learned dictionaries and collaborative representation
Proximity reasoning for discoveries
A risk degree-based safe semi-supervised learning algorithm
Automatic lag selection in time series forecasting using multiple kernel learning
Incremental extreme learning machine based on deep feature embedded
Retailer’s optimal strategy for fixed lifetime products
On the matroidal structure of generalized rough set based on relation via definable sets
Unsupervised link prediction in evolving abnormal medical parameter networks
Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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Feature and instance reduction for PNN classifiers based on fuzzy rough sets

Content Provider SpringerLink
Author Tsang, Eric C. C. Hu, Qinghua Chen, Degang
Copyright Year 2014
Abstract Instance reduction for K-nearest-neighbor classification rules (KNN) has attracted much attention these years, and most of the existing approaches lose the semantics of probability of original data. In this work, we propose a new reduced KNN rule, called FAIR-KNN, to perform feature and instance reduction based on fuzzy rough set theory. First, we use fuzzy rough sets to evaluate candidate features and select the most informative ones. The algorithm of feature selection returns the selected features and the membership values of samples to the lower approximations of their classes. These values reflect the distances of the samples to classification boundary and are used to compute probabilities of samples to be subsampled. Then we introduce a weighted Parzen window technique to estimate the probability from the weighted subsampled data. Thus we can not only reduce features and samples in original data, but also do not lose the semantics of probability. Finally, the memberships of samples to lower and upper approximations of decisions are interpreted as certainty and possibility degrees of samples belonging to the corresponding decisions, respectively. So the weighted averages with probability of the memberships of samples to lower and upper approximations are outputted as the certainty and possibility degrees of unseen samples belonging to some decisions, which enrich the semantics of KNN. Numerical experiments on artificial and real-world data validate the effectiveness of the proposed technique.
Starting Page 1
Ending Page 11
Page Count 11
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 7
Issue Number 1
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2014-02-22
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Nearest neighbor rule Feature reduction Instance reduction Fuzzy rough set Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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