Efficient Instance Selection Based on Spatial Abstraction

2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) ◽

10.1109/ictai.2018.00053 ◽

2018 ◽

Author(s):

Joel Luis Carbonera ◽

Mara Abel

Keyword(s):

Instance Selection

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Empowering Simultaneous Feature and Instance Selection in Classification Problems through the Adaptation of Two Selection Algorithms

2010 Ninth International Conference on Machine Learning and Applications ◽

10.1109/icmla.2010.121 ◽

2010 ◽

Author(s):

Rafael Augusto Ferreira do Carmo ◽

Fabricio Gomes de Freitas ◽

Jerffeson Teixeira de Souza

Keyword(s):

Instance Selection ◽

Classification Problems ◽

Selection Algorithms

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GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data

2020 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci47803.2020.9308382 ◽

2020 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Feature Selection ◽

Incomplete Data ◽

Symbolic Regression ◽

Instance Selection ◽

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An instance selection approach to Multiple instance Learning

2009 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2009.5206655 ◽

2009 ◽

Author(s):

Zhouyu Fu ◽

Antonio Robles-Kelly

Keyword(s):

Multiple Instance Learning ◽

Instance Selection ◽

Selection Approach

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Integrating feature and instance selection for text classification

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02 ◽

10.1145/775047.775120 ◽

2002 ◽

Author(s):

Dimitris Fragoudis ◽

Dimitris Meretakis ◽

Spiros Likothanassis

Keyword(s):

Text Classification ◽

Instance Selection ◽

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Combining example selection with instance selection to speed up multiple-instance learning

Neurocomputing ◽

10.1016/j.neucom.2013.09.008 ◽

2014 ◽

Vol 129 ◽

pp. 504-515 ◽

Author(s):

Liming Yuan ◽

Jiafeng Liu ◽

Xianglong Tang

Keyword(s):

Multiple Instance Learning ◽

Instance Selection ◽

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An attraction-based approach for instance selection

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) ◽

10.1109/ictai50040.2020.00161 ◽

2020 ◽

Author(s):

Joel Luis Carbonera ◽

Mara Abel

Keyword(s):

Instance Selection

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Deep multiple instance selection

Science China Information Sciences ◽

10.1007/s11432-020-3117-3 ◽

2021 ◽

Vol 64 (3) ◽

Author(s):

Xin-Chun Li ◽

De-Chuan Zhan ◽

Jia-Qi Yang ◽

Yi Shi

Keyword(s):

Instance Selection

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RMHC-MR: Instance selection by random mutation hill climbing algorithm with MapReduce in big data

Procedia Computer Science ◽

10.1016/j.procs.2017.06.061 ◽

2017 ◽

Vol 111 ◽

pp. 252-259 ◽

Author(s):

Lu Si ◽

Jie Yu ◽

Wuyang Wu ◽

Jun Ma ◽

Qingbo Wu ◽

...

Keyword(s):

Big Data ◽

Hill Climbing ◽

Instance Selection ◽

Random Mutation ◽

Hill Climbing Algorithm

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Instance Selection Method for Improving Graph-Based Semi-supervised Learning

PRICAI 2016: Trends in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-42911-3_47 ◽

2016 ◽

pp. 565-573

Author(s):

Hai Wang ◽

Shao-Bo Wang ◽

Yu-Feng Li

Keyword(s):

Supervised Learning ◽

Selection Method ◽

Instance Selection

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Learning of neural networks with GA-based instance selection

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) ◽

10.1109/nafips.2001.944394 ◽

2002 ◽

Author(s):

H. Ishibuchi ◽

T. Nakashima ◽

M. Nii

Keyword(s):

Neural Networks ◽

Instance Selection

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