Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification. [PDF]
Comput Intell Neurosci, 2021 Wang L, Wang H, Fu G.
europepmc +1 more source
3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection. [PDF]
Front Genet, 2023 Mallik S +7 more
europepmc +1 more source
Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity. [PDF]
Mult Scler J Exp Transl Clin, 2022 Chien C +5 more
europepmc +1 more source
Multiple Kernel Learning in Fisher Discriminant Analysis for Face Recognition
International Journal of Advanced Robotic Systems, 2013 Recent applications and developments based on support vector machines (SVMs) have shown that using multiple kernels instead of a single one can enhance classifier performance.
Xiao-Zhang Liu, Guo-Can Feng
doaj +1 more source
Multimodal MR Images-Based Diagnosis of Early Adolescent Attention-Deficit/Hyperactivity Disorder Using Multiple Kernel Learning. [PDF]
Front Neurosci, 2021 Zhou X +5 more
europepmc +1 more source
MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks. [PDF]
PeerJ Comput Sci, 2021 Wani N, Raza K.
europepmc +1 more source
EEG-Based Epilepsy Recognition via Multiple Kernel Learning. [PDF]
Comput Math Methods Med, 2020 Yao Y, Ding Y, Zhong S, Cui Z.
europepmc +1 more source
Multiple kernel learning for integrative consensus clustering of omic datasets. [PDF]
Bioinformatics, 2020 Cabassi A, Kirk PDW.
europepmc +1 more source
Selecting the Most Relevant Brain Regions to Classify Children with Developmental Dyslexia and Typical Readers by Using Complex Magnocellular Stimuli and Multiple Kernel Learning. [PDF]
Brain Sci, 2021 Mascheretti S +7 more
europepmc +1 more source
Application of EMPE and KP-KELM in Fault Diagnosis of Planetary Gearbox
Jixie chuandong, 2019 According to the nonlinear and non-stationary of the planetary gearbox vibration signal fault characteristics is difficult to extract and the problem of low classification accuracy Gaussian kernel extreme learning machine based on random generation ...
Bo Qin +5 more
doaj