Constructing Multiple Kernel Learning Framework for Blast Furnace Automation

IEEE Transactions on Automation Science and Engineering ◽

10.1109/tase.2012.2211100 ◽

2012 ◽

Vol 9 (4) ◽

pp. 763-777 ◽

Author(s):

Ling Jian ◽

Chuanhou Gao ◽

Zhonghang Xia

Keyword(s):

Blast Furnace ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Framework ◽

Multiple Kernel

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A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection

IEEE Transactions on Multimedia ◽

10.1109/tmm.2012.2188783 ◽

2012 ◽

Vol 14 (3) ◽

pp. 563-574 ◽

Author(s):

Yi-Ren Yeh ◽

Ting-Chu Lin ◽

Yung-Yu Chung ◽

Yu-Chiang Frank Wang

Keyword(s):

Variable Selection ◽

Feature Fusion ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Framework ◽

Multiple Kernel ◽

Heterogeneous Feature

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SAMKL: Sample Adaptive Multiple Kernel Learning Framework for Lung Cancer Prediction

Information and Communication Technology for Intelligent Systems - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-7078-0_4 ◽

2020 ◽

pp. 31-44

Author(s):

Ashima Singh ◽

Arwinder Dhillon ◽

Jasmine Kaur Thind

Keyword(s):

Lung Cancer ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Cancer Prediction ◽

Learning Framework ◽

Multiple Kernel

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A Novel Multiple Kernel Learning Framework for Remote Sensing Scene Classification

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8518884 ◽

2018 ◽

Author(s):

Xiaoyong Bian ◽

Yuxia Sheng ◽

Yan Xu ◽

Qian Du

Keyword(s):

Remote Sensing ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Scene Classification ◽

Learning Framework ◽

Multiple Kernel

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A Multiple Kernel Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction

Functional Imaging and Modelling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59448-4_16 ◽

2017 ◽

pp. 161-171 ◽

Author(s):

Maciej Marciniak ◽

Hermenegild Arevalo ◽

Jacob Tfelt-Hansen ◽

Kiril A. Ahtarovski ◽

Thomas Jespersen ◽

...

Keyword(s):

Myocardial Infarction ◽

Ventricular Fibrillation ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Framework ◽

Multiple Kernel ◽

The Relationship ◽

First Myocardial Infarction

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Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-020-01140-y ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Thanh-Trung Giang ◽

Thanh-Phuong Nguyen ◽

Dang-Hung Tran

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Case Studies ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Framework ◽

Multiple Kernel

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fMKL-DR: A Fast Multiple Kernel Learning Framework with Dimensionality Reduction

Lecture Notes in Computer Science - Integrated Uncertainty in Knowledge Modelling and Decision Making ◽

10.1007/978-3-319-75429-1_13 ◽

2018 ◽

pp. 153-165

Author(s):

Thanh Trung Giang ◽

Thanh Phuong Nguyen ◽

Tran Quoc Vinh Nguyen ◽

Dang Hung Tran

Keyword(s):

Dimensionality Reduction ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Framework ◽

Multiple Kernel

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A Novel Multiple Kernel Learning Framework for Multiple Feature Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2017.2697417 ◽

2017 ◽

Vol 10 (8) ◽

pp. 3734-3743 ◽

Author(s):

Saeid Niazmardi ◽

Abdolreza Safari ◽

Saeid Homayouni

Keyword(s):

Multiple Kernel Learning ◽

Kernel Learning ◽

Feature Classification ◽

Learning Framework ◽

Multiple Kernel ◽

Multiple Feature

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MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection

Expert Systems with Applications ◽

10.1016/j.eswa.2014.12.040 ◽

2015 ◽

Vol 42 (8) ◽

pp. 4062-4080 ◽

Author(s):

John M. Fossaceca ◽

Thomas A. Mazzuchi ◽

Shahram Sarkani

Keyword(s):

Intrusion Detection ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Network Intrusion Detection ◽

Learning Framework ◽

Network Intrusion ◽

Multiple Kernel

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Robust Subspace Clustering Based on Automatic Weighted Multiple Kernel Learning

Information Sciences ◽

10.1016/j.ins.2021.05.070 ◽

2021 ◽

Author(s):

Guo ◽

Xiaoqian Zhang ◽

Zhigui Liu ◽

Xuqian Xue ◽

Qian Wang ◽

...

Keyword(s):

Multiple Kernel Learning ◽

Subspace Clustering ◽

Kernel Learning ◽

Multiple Kernel

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Efficient Multitask Multiple Kernel Learning With Application to Cancer Research

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2021.3052357 ◽

2021 ◽

pp. 1-13

Author(s):

Arezou Rahimi ◽

Mehmet Gonen

Keyword(s):

Cancer Research ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Multiple Kernel

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