Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning

Ya Zhang; Ao Li; Chen Peng; Minghui Wang

doi:10.1109/tcbb.2016.2551745

Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2016.2551745 ◽

2016 ◽

Vol 13 (5) ◽

pp. 825-835 ◽

Cited By ~ 24

Author(s):

Ya Zhang ◽

Ao Li ◽

Chen Peng ◽

Minghui Wang

Keyword(s):

Feature Selection ◽

Glioblastoma Multiforme ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Prognosis Prediction ◽

Multiple Kernel

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Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer function

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947041 ◽

2011 ◽

Cited By ~ 2

Author(s):

Ryoichi Takashima ◽

Tetsuya Takiguchi ◽

Yasuo Ariki

Keyword(s):

Feature Selection ◽

Transfer Function ◽

Source Localization ◽

Sound Source ◽

Single Channel ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Sound Source Localization ◽

Multiple Kernel ◽

Acoustic Transfer Function

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A feature selection method based on multiple kernel learning with expression profiles of different types

BioData Mining ◽

10.1186/s13040-017-0124-x ◽

2017 ◽

Vol 10 (1) ◽

Cited By ~ 13

Author(s):

Wei Du ◽

Zhongbo Cao ◽

Tianci Song ◽

Ying Li ◽

Yanchun Liang

Keyword(s):

Feature Selection ◽

Expression Profiles ◽

Multiple Kernel Learning ◽

Feature Selection Method ◽

Selection Method ◽

Kernel Learning ◽

Multiple Kernel ◽

Different Types

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Acoustic feature selection utilizing multiple kernel learning for classification of children with autism spectrum and typically developing children

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration ◽

10.1109/sii.2013.6776604 ◽

2013 ◽

Cited By ~ 2

Author(s):

Yasuhiro Kakihara ◽

Tetsuya Takiguchi ◽

Yasuo Ariki ◽

Yasushi Nakai ◽

Satoshi Takada

Keyword(s):

Feature Selection ◽

Multiple Kernel Learning ◽

Children With Autism ◽

Autism Spectrum ◽

Kernel Learning ◽

Typically Developing ◽

Acoustic Feature ◽

Typically Developing Children ◽

Multiple Kernel

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Group feature selection in image classification with multiple kernel learning

2015 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2015.7280634 ◽

2015 ◽

Cited By ~ 3

Author(s):

Zheng Cao ◽

Jose C. Principe ◽

Bing Ouyang

Keyword(s):

Feature Selection ◽

Image Classification ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Multiple Kernel

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Multiple kernel learning based feature selection for process monitoring

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) ◽

10.1109/icis.2017.7960103 ◽

2017 ◽

Author(s):

Sheng-Lan Yang ◽

Wei Weng ◽

Gang Rong ◽

Yi-Ping Feng

Keyword(s):

Feature Selection ◽

Process Monitoring ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Multiple Kernel ◽

Selection For

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Hyperspectral Image Classification Using Multiple Kernel Learning SVM with FA-KLD-LFDA for Multi Feature Selection

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i8.2598 ◽

2014 ◽

Vol 9 (8) ◽

pp. 1338

Author(s):

S. Venkatesh Kumar ◽

T. Karthikeyan

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Hyperspectral Image Classification ◽

Multiple Kernel

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Representation and feature selection using multiple kernel learning

2009 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2009.5178897 ◽

2009 ◽

Cited By ~ 14

Author(s):

A. D. Dileep ◽

C. Chandra Sekhar

Keyword(s):

Feature Selection ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Multiple Kernel

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Group lasso regularized multiple kernel learning for heterogeneous feature selection

The 2011 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2011.6033554 ◽

2011 ◽

Cited By ~ 3

Author(s):

Yi-Ren Yeh ◽

Yung-Yu Chung ◽

Ting-Chu Lin ◽

Yu-Chiang Frank Wang

Keyword(s):

Feature Selection ◽

Multiple Kernel Learning ◽

Group Lasso ◽

Kernel Learning ◽

Multiple Kernel ◽

Heterogeneous Feature

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Feature selection and classification using multiple kernel learning for brain tumor segmentation

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) ◽

10.1109/atsip.2018.8364470 ◽

2018 ◽

Cited By ~ 2

Author(s):

Naouel Boughattas ◽

Maxime Berar ◽

Kamel Hamrouni ◽

Su Ruan

Keyword(s):

Feature Selection ◽

Brain Tumor ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Multiple Kernel

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Feature Selection Using Multiple Kernel Learning Methods

Lecture Notes in Electrical Engineering - Advances in Smart Grid and Renewable Energy ◽

10.1007/978-981-15-7511-2_56 ◽

2021 ◽

pp. 563-567

Author(s):

K. Siva Sandeep Reddy ◽

K. Gunavardhan Reddy ◽

A. Pravin ◽

G. Nagarajan ◽

T. Prem Jacob

Keyword(s):

Feature Selection ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Methods ◽

Multiple Kernel

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