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Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data

PloS one, 2013-11, Vol.8 (11), p.e78518

2013

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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

1, 2013

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Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery

IEEE geoscience and remote sensing letters, 2017-04, Vol.14 (4), p.569-573

2017

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Laplacian p-norm proximal support vector machine for semi-supervised classification

Neurocomputing (Amsterdam), 2014-11, Vol.144, p.151-158

2014

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Robust 2DPCA by Tℓ1 Criterion Maximization for Image Recognition

IEEE access, 2021-01, Vol.9, p.1-1

2021

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Sparse least square twin support vector machine with adaptive norm

Applied intelligence (Dordrecht, Netherlands), 2014-12, Vol.41 (4), p.1097-1107

2014

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Correction: Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data

PloS one, 2013-12, Vol.8 (12)

2013

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Mixed-norm linear support vector machine

Neural computing & applications, 2013-12, Vol.23 (7-8), p.2159-2166

2013

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Biased p-norm support vector machine for PU learning

Neurocomputing (Amsterdam), 2014-07, Vol.136, p.256-261

2014

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Adaptive feature selection via a new version of support vector machine

Neural computing & applications, 2013-09, Vol.23 (3-4), p.937-945

2013

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A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence

Bioinformatics, 2011-02, Vol.27 (3), p.383-390

2011

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Collaborative weighted multi-view feature extraction

Engineering applications of artificial intelligence, 2020-04, Vol.90, p.103527, Article 103527

2020

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Locality cross-view regression for feature extraction

Engineering applications of artificial intelligence, 2021-10, Vol.105, p.104414, Article 104414

2021

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The new interpretation of support vector machines on statistical learning theory

Science China. Mathematics, 2010, Vol.53 (1), p.151-164

2010

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Support Vector Machines

2012

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SEQUENCE-BASED PROTEIN-PROTEIN INTERACTION PREDICTION VIA SUPPORT VECTOR MACHINE

Journal of systems science and complexity, 2010-10, Vol.23 (5), p.1012-1023

2010

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Support Vector Classification with Nominal Attributes

Computational Intelligence and Security, 2005, p.586-591

2005

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NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES

Journal of systems science and complexity, 2011-06, Vol.24 (3), p.466-476

2011

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Novel Grouping Method-based support vector machine plus for structured data

Neurocomputing (Amsterdam), 2016-10, Vol.211, p.191-201

2016

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Prediction of posttranslational modification sites from amino acid sequences with kernel methods

Journal of theoretical biology, 2014-03, Vol.344, p.78-87

2014

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Gene expression variations are predictive for stochastic noise

Nucleic acids research, 2011-01, Vol.39 (2), p.403-413

2011

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Key issues of support vector machines and future prospects

SCIENTIA SINICA Mathematica, 2020-09, Vol.50 (9), p.1233

2020

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A New Support Vector Machine for Multi-class Classification

Computational Intelligence and Security, 2005, p.580-585

2005

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Application of image recognition in civil aviation security based on tensor learning

Journal of intelligent & fuzzy systems, 2017-01, Vol.33 (4), p.2145-2157

2017

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Predicting DNA- and RNA-binding proteins from sequences with kernel methods

Journal of theoretical biology, 2009-05, Vol.258 (2), p.289-293

2009

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Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery

Laplacian p-norm proximal support vector machine for semi-supervised classification

Robust 2DPCA by Tℓ1 Criterion Maximization for Image Recognition

Sparse least square twin support vector machine with adaptive norm

Correction: Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data

Mixed-norm linear support vector machine

Biased p-norm support vector machine for PU learning

Adaptive feature selection via a new version of support vector machine

A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence

Collaborative weighted multi-view feature extraction

Locality cross-view regression for feature extraction

The new interpretation of support vector machines on statistical learning theory

Support Vector Machines

SEQUENCE-BASED PROTEIN-PROTEIN INTERACTION PREDICTION VIA SUPPORT VECTOR MACHINE

Support Vector Classification with Nominal Attributes

NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES

Novel Grouping Method-based support vector machine plus for structured data

Prediction of posttranslational modification sites from amino acid sequences with kernel methods

Gene expression variations are predictive for stochastic noise

Key issues of support vector machines and future prospects

A New Support Vector Machine for Multi-class Classification

Application of image recognition in civil aviation security based on tensor learning

Predicting DNA- and RNA-binding proteins from sequences with kernel methods

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