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Lin Sun et al.
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Huilai Zhi et al.
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A sequential three-way approach to multi-class decision
Xin Yang et al.
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Yu Fang et al.
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Jianhua Dai et al.
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Oscar Reyes et al.
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Yiyu Yao
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Three-way conceptual approach for cognitive memory functionalities
Radhika Shivhare et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2017)
Active learning through density clustering
Min Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning
Ran Wang et al.
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Regression-based three-way recommendation
Heng-Ru Zhang et al.
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Jinhai Li et al.
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Huaxiong Li et al.
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Exploring Representativeness and Informativeness for Active Learning
Bo Du et al.
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Ambiguity-Based Multiclass Active Learning
Ran Wang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)
The connections between three-way and classical concept lattices
Jianjun Qi et al.
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A novel three-way decision model based on incomplete information system
Dun Liu et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Fuzzy-Rough-Set-Based Active Learning
Ran Wang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)
Active Learning by Querying Informative and Representative Examples
Sheng-Jun Huang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2014)
Three-way decisions space and three-way decisions
Bao Qing Hu
INFORMATION SCIENCES (2014)
Clustering by fast search and find of density peaks
Alex Rodriguez et al.
SCIENCE (2014)
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Sorour Afshar et al.
NEUROCOMPUTING (2013)
Manifold Adaptive Experimental Design for Text Categorization
Deng Cai et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
Active Learning Methods for Remote Sensing Image Classification
Devis Tuia et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2009)
Multiclass Corporate Failure Prediction by Adaboost.M1
Esteban Alfaro Cortes et al.
INTERNATIONAL ADVANCES IN ECONOMIC RESEARCH (2007)
Using LogitBoost classifier to predict protein structural classes
YD Cai et al.
JOURNAL OF THEORETICAL BIOLOGY (2006)
Semi-supervised learning on Riemannian manifolds
M Belkin et al.
MACHINE LEARNING (2004)