The superiority of three-way decisions in probabilistic rough set models
Y Yao - Information sciences, 2011 - Elsevier
Three-way decisions provide a means for trading off different types of classification error in
order to obtain a minimum cost ternary classifier. This paper compares probabilistic three …
order to obtain a minimum cost ternary classifier. This paper compares probabilistic three …
Real-time recognition system of soybean seed full-surface defects based on deep learning
G Zhao, L Quan, H Li, H Feng, S Li, S Zhang… - … and Electronics in …, 2021 - Elsevier
Accurately sorting high-quality soybean seeds is a key task in increasing soybean yield in
the breeding industry. At present, sorting systems based on machine vision focus on the …
the breeding industry. At present, sorting systems based on machine vision focus on the …
Generalized attribute reduct in rough set theory
Attribute reduction plays an important role in the areas of rough sets and granular
computing. Many kinds of attribute reducts have been defined in previous studies. However …
computing. Many kinds of attribute reducts have been defined in previous studies. However …
Data-driven adaptive selection of rule quality measures for improving rule induction and filtration algorithms
This paper presents a proposal of a rule induction algorithm selecting a rule quality measure
adaptively. The quality measure plays the role of an optimization criterion of the generated …
adaptively. The quality measure plays the role of an optimization criterion of the generated …
Legal entity recognition in indonesian court decision documents using bi-lstm and crf approaches
EQ Nuranti, E Yulianti - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The increasing number of Indonesian court decision documents requires special attention to
be managed and used efficiently. One thing is to recognize legal entities to identify relevant …
be managed and used efficiently. One thing is to recognize legal entities to identify relevant …
[PDF][PDF] Mining comprehensible and interesting rules: a genetic algorithm approach
ABSTRACT A majority of contribution in the domain of rule mining overemphasize on
maximizing the predictive accuracy of the discovered patterns. The user-oriented criteria …
maximizing the predictive accuracy of the discovered patterns. The user-oriented criteria …
Karınca koloni optimizasyoni ile yapay sinir ağlarından kural çıkarımı
S Kulluk - 2009 - acikbilim.yok.gov.tr
Veriden sınıflandırma kuralları çıkarımı, veri madenciliği (VM) uygulamalarının ilgi çeken ve
önemli bir işidir. Günümüze kadar literatürde sınıflandırma kural çıkarımına, etkin …
önemli bir işidir. Günümüze kadar literatürde sınıflandırma kural çıkarımına, etkin …
Predicting delay of commuting activities following frequently occurring disasters using location data from smartphones
T Yabe, Y Sekimoto, A Sudo… - Journal of Disaster …, 2017 - jstage.jst.go.jp
Natural disasters that frequently occur, such as typhoons and earthquakes, heavily affect
human activities in urban areas by causing severe congestion and economic loss …
human activities in urban areas by causing severe congestion and economic loss …
Biological event trigger identification with noise contrastive estimation
Biological Event Extraction is an important task towards the goal of extracting biomedical
knowledge from the scientific publications by capturing biomedical entities and their …
knowledge from the scientific publications by capturing biomedical entities and their …
Redefinition of decision rules based on the importance of elementary conditions evaluation
M Sikora - Fundamenta Informaticae, 2013 - content.iospress.com
The paper presents an algorithm of decision rules redefinition that is based on evaluation of
the importance of elementary conditions occurring in induced rules. Standard and simplified …
the importance of elementary conditions occurring in induced rules. Standard and simplified …