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Publication : intelligent data analysis

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Academic Journal

A parallel and balanced SVM algorithm on spark for data-intensive computing.

Authors : Li, Jianjiang¹ (AUTHOR); Shi, Jinliang¹ (AUTHOR); Liu, Zhiguo² (AUTHOR)

Source: Intelligent Data Analysis. 2023, Vol. 27 Issue 4, p1065-1086. 22p.

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Academic Journal

A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification.

Authors : Tan, Xuemin¹ (AUTHOR) ; Guo, Chao² (AUTHOR); Jiang, Tao¹ (AUTHOR)

Source: Intelligent Data Analysis. 2021, Vol. 25 Issue 4, p863-877. 15p.

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Academic Journal

Fast multi-label SVM training based on approximate extreme points.

Authors : Sun, Zhongwei^1,2,3; Guo, Zhongwen³; Liu, Chao³ .

Source: Intelligent Data Analysis. 2018, Vol. 22 Issue 5, p1079-1099. 21p.

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Academic Journal

Financial distress prediction using SVM ensemble based on earnings manipulation and fuzzy integral.

Authors : Chao Huang¹ ; Qingyu Yang¹; Mingwei Du¹

Source: Intelligent Data Analysis. 2017, Vol. 21 Issue 3, p617-636. 20p. 10 Diagrams, 6 Charts.

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Academic Journal

EuDiC SVM: A novel support vector machine classification algorithm.

Authors : Bhavsar, Hetal¹ ; Ganatra, Amit²

Source: Intelligent Data Analysis. 2016, Vol. 20 Issue 6, p1285-1305. 21p.

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Academic Journal

Simple nonparallel laplacian SVM for semi-supervised learning on binary classification problem.

Authors : Xi Zhao^1,2,3 ; Qiyu Bai⁴; Shiguo Bai⁵

Source: Intelligent Data Analysis. 2016, Vol. 20 Issue 6, p1307-1328. 22p.

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Academic Journal

Low density separation as a stopping criterion for active learning SVM.

Authors : Chunjiang Fu^1,2 ; Yupu Yang^1,2

Source: Intelligent Data Analysis. 2015, Vol. 19 Issue 4, p727-741. 15p.

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Academic Journal

Incremental SVM-based classification in dynamic streaming networks.

Authors : Yibo Yao¹; Holder, Lawrence B.¹

Source: Intelligent Data Analysis. 2016, Vol. 20 Issue 4, p825-852. 28p.

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Academic Journal

A batch-mode active learning SVM method based on semi-supervised clustering.

Authors : Fu, Chun-Jiang¹; Yang, Yu-Pu¹

Source: Intelligent Data Analysis. 2015, Vol. 19 Issue 2, p345-358. 14p.

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Academic Journal

A novel SVM modeling approach for highly imbalanced and overlapping classification.

Authors : Yu Qu¹ ; Hongye Su¹; Lichao Guo¹

Source: Intelligent Data Analysis. 2011, Vol. 15 Issue 3, p319-341. 23p. 7 Diagrams, 15 Charts, 3 Graphs.

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نتائج البحث

فلترة النتائج

A parallel and balanced SVM algorithm on spark for data-intensive computing.

A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification.

Fast multi-label SVM training based on approximate extreme points.

Financial distress prediction using SVM ensemble based on earnings manipulation and fuzzy integral.

EuDiC SVM: A novel support vector machine classification algorithm.

Simple nonparallel laplacian SVM for semi-supervised learning on binary classification problem.

Low density separation as a stopping criterion for active learning SVM.

Incremental SVM-based classification in dynamic streaming networks.

A batch-mode active learning SVM method based on semi-supervised clustering.

A novel SVM modeling approach for highly imbalanced and overlapping classification.

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