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Selective multiple kernel learning for classification with ensemble strategy

Pattern recognition, 2013-11, Vol.46 (11), p.3081-3090

2013

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A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2009-04, Vol.6 (2), p.190-199

2009

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Multiple kernel ensemble learning for software defect prediction

Automated software engineering, 2016-12, Vol.23 (4), p.569-590

2016

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Diagnosis of autism spectrum disorders using regional and interregional morphological features

Human brain mapping, 2014-07, Vol.35 (7), p.3414-3430

2014

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Success based locally weighted Multiple Kernel combination

Pattern recognition, 2017-08, Vol.68, p.38-51

2017

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Semi‐supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization

International journal of intelligent systems, 2022-02, Vol.37 (2), p.1674-1696

2022

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Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search

IEEE transactions on circuits and systems for video technology, 2014-04, Vol.24 (4), p.704-713

2014

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Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data

Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (10), p.1148

Sonobe, Rei

2019

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DRPADC: A novel drug repositioning algorithm predicting adaptive drugs for COVID-19

Computers & chemical engineering, 2022-10, Vol.166, p.107947-107947, Article 107947

2022

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Information granule optimization and co-training based on kernel method

Applied soft computing, 2024-06, Vol.158, Article 111584

2024

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Transferable Representation Learning with Deep Adaptation Networks

IEEE transactions on pattern analysis and machine intelligence, 2019-12, Vol.41 (12), p.3071-3085

2019

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Identification of drug-side effect association via multiple information integration with centered kernel alignment

Neurocomputing (Amsterdam), 2019-01, Vol.325, p.211-224

2019

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Auto-weighted multi-view clustering via kernelized graph learning

Pattern recognition, 2019-04, Vol.88, p.174-184

2019

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Low-rank kernel learning for graph-based clustering

Knowledge-based systems, 2019-01, Vol.163, p.510-517

2019

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Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering

IEEE transaction on neural networks and learning systems, 2021-05, Vol.32 (5), p.1839-1851

2021

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Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.1183-1192

2020

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Volltext

EasyMKL: a scalable multiple kernel learning algorithm

Neurocomputing (Amsterdam), 2015-12, Vol.169, p.215-224

2015

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Clustering with similarity preserving

Neurocomputing (Amsterdam), 2019-11, Vol.365, p.211-218

2019

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Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation

IEEE transaction on neural networks and learning systems, 2020-04, Vol.31 (4), p.1351-1362

2020

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Volltext

Kernel-driven similarity learning

Neurocomputing (Amsterdam), 2017-12, Vol.267, p.210-219

2017

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Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

Knowledge-based systems, 2020-09, Vol.204, p.106254, Article 106254

2020

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Computational and Comparative Study on Multiple Kernel Learning Approaches for the Classification Problem of Alzheimer’s Disease

Nature of Computation and Communication, 2016, p.334-341

2016

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Consensus Affinity Graph Learning for Multiple Kernel Clustering

IEEE transactions on cybernetics, 2021-06, Vol.51 (6), p.3273-3284

2021

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Multiple Kernel Learning for Hyperspectral Image Classification: A Review

IEEE transactions on geoscience and remote sensing, 2017-11, Vol.55 (11), p.6547-6565

2017

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Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion

Neurocomputing (Amsterdam), 2020-03, Vol.383, p.257-269

2020

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Selective multiple kernel learning for classification with ensemble strategy

A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction

Multiple kernel ensemble learning for software defect prediction

Diagnosis of autism spectrum disorders using regional and interregional morphological features

Success based locally weighted Multiple Kernel combination

Semi‐supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization

Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search

Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data

DRPADC: A novel drug repositioning algorithm predicting adaptive drugs for COVID-19

Information granule optimization and co-training based on kernel method

Transferable Representation Learning with Deep Adaptation Networks

Identification of drug-side effect association via multiple information integration with centered kernel alignment

Auto-weighted multi-view clustering via kernelized graph learning

Low-rank kernel learning for graph-based clustering

Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

EasyMKL: a scalable multiple kernel learning algorithm

Clustering with similarity preserving

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation

Kernel-driven similarity learning

Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

Computational and Comparative Study on Multiple Kernel Learning Approaches for the Classification Problem of Alzheimer’s Disease

Consensus Affinity Graph Learning for Multiple Kernel Clustering

Multiple Kernel Learning for Hyperspectral Image Classification: A Review

Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion

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