Multiple kernel learning, conic duality, and the SMO algorithm

Nonlinear Programming

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Fast Training of Support Vector Machines Using Sequential Minimal Optimization

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Improvements to Platt's SMO Algorithm for SVM Classifier Design

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Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries

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S3MKL

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Multiple kernel nonnegative matrix factorization

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Deep Support Vector Machines for Regression Problems

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Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem

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Multiview Semi-supervised Learning for Ranking Multilingual Documents

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Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming

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Multiple Kernel Learning from Noisy Labels by Stochastic ProgrammingPreprint

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Pipelining Localized Semantic Features for Fine-Grained Action Recognition

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A New Convolutional Kernel Classifier for Hyperspectral Image Classification

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Locally adaptive multiple kernel clustering

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A MKL based on-line prediction for gasholder level in steel industry

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Nonlinear Combination of Multiple Kernels for Support Vector Machines

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High-dimensional support union recovery in multivariate regression

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An Approximate Approach to Automatic Kernel Selection

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Deep kernel

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Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold

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Multiple kernel clustering with pure graph learning scheme

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Generalized hierarchical kernel learning

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Improving SVM Performance Using a Linear Combination of Kernels

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To go deep or wide in learning?Preprint

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A primal-dual method for conic constrained distributed optimization problemsPreprint

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Combining Heterogeneous Data Sources for Neuroimaging Based Diagnosis: Re-Weighting and Selecting What Is Important

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Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification

Du, P., Gan, L., Xia, J., & Wang, D. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2833882 · Cited by 20

Comparative Study of Supervised Learning Methods for Malware Analysis

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Semi-supervised learning via generalized maximum entropy

LeCun, Y., & Erkan, A. N. (2010) · International Conference on Artificial Intelligence and Statistics · Cited by 20

Learning concept bundles for video search with complex queries

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Multiple kernel support vector regression for economic forecasting

Xiang-rong, Z., Hu, L., & Zhi-sheng, W. (2010) · International Conference on Management Science and Engineering (ICMSE) · doi:10.1109/icmse.2010.5719795 · Cited by 20

Estimating vector fields using sparse basis field expansions

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Classification of sparse and irregularly sampled time series with mixtures of expected Gaussian kernels and random features

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Matrix-Regularized Multiple Kernel Learning via $(r,~p)$ Norms

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Proceedings of the 20th Computer Vision Winter Workshop

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MCK-ELM: multiple composite kernel extreme learning machine for hyperspectral images

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Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels

Han, B., Tsang, I. W.-H., Chen, L., Zhou, J. T., & Yu, C. P. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2899045 · Cited by 20

Nonlinear dimensionality reduction on graphs

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Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge

Uzunangelov, V., Wong, C. K., & Stuart, J. M. (2020) · bioRxiv · doi:10.1371/journal.pcbi.1008878 · Cited by 13

Automatic lag selection in time series forecasting using multiple kernel learning

Widodo, A., Budi, I. D., & Widjaja, B. H. (2015) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-015-0409-7 · Cited by 20

A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification

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Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

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Multiple Kernel Learning with Random Effects for Predicting Longitudinal Outcomes and Data Integration

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More robust and better: a multiple kernel support vector machine ensemble approach for traffic incident detection

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Feature fusion within local region using localized maximum-margin learning for scene categorization

Qin, J., & Yung, N. H. C. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.09.027 · Cited by 19

Incorporation of radius-info can be simple with SimpleMKL

Liu, X., Wang, L., Yin, J., et al. (2012) · Neurocomputing · doi:10.1016/j.neucom.2012.01.035 · Cited by 19

Optimized data fusion for K-means Laplacian clustering

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Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.

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Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering

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Multiple Kernel Learning for stock price direction prediction

Sirohi, A. K., Mahato, P. K., & Attar, V. (2014) · International Conference on Advances in Engineering & Technology Research · doi:10.1109/icaetr.2014.7012901 · Cited by 19

A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse

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Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods

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Fuzzy Clustering Multiple Kernel Support Vector Machine

Gong, C. Y., & Tong, X. (2018) · International Conference on Wavelet Analysis and Pattern Recognition · doi:10.1109/icwapr.2018.8521307 · Cited by 19

A multimodal multiple kernel learning approach to Alzheimer's disease detection

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Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

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Credit Risk Evaluation Using Support Vector Machine with Mixture of Kernel

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Sparse RBF Networks with Multi-kernels

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Toward structural sparsity: an explicit $$\ell _{2}/\ell _0$$ approach

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Randomized Clustered Nystrom for Large-Scale Kernel Machines

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Multi-Layer Support Vector Machines

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Discriminative Multi-View Subspace Feature Learning for Action Recognition

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Feature Grouping and Selection Over an Undirected Graph

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An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm

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SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems

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Learning element similarity matrix for semi-structured document analysis

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Bayesian Learning of Kernel EmbeddingsPreprint

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An efficient multiple-kernel learning for pattern classification

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Stock Price Change Rate Prediction by Utilizing Social Network Activities

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Sparsity regularization label propagation for domain adaptation learning

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Per-Sample Multiple Kernel Approach for Visual Concept Learning

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Multi-task Multiple Kernel Learning

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Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments

Senanayake, R., Tompkins, A., & Ramos, F. T. (2018) · Conference on Robot Learning · Cited by 17

Modeling and prediction of wear rate of grinding media in mineral processing industry using multiple kernel support vector machine

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Preventing Over-Fitting of Cross-Validation with Kernel Stability

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Probability-Confidence-Kernel-Based Localized Multiple Kernel Learning With $l_{p}$ Norm

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Deriving kernels from generalized Dirichlet mixture models and applications

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Learning the optimal kernel for Fisher discriminant analysis via second order cone programming

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Combining coregularization and consensus-based self-training for multilingual text categorization

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HCKBoost: Hybridized composite kernel boosting with extreme learning machines for hyperspectral image classification

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Transfer Feature Representation via Multiple Kernel Learning

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Fuzzy clustering with multiple kernels in feature space

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On the MSE Properties of Empirical Bayes Methods for Sparse Estimation

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Multiple kernel interval type-2 fuzzy c-means clustering

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Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels

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Classification of Sonar Targets Using OMKC, Genetic Algorithms and Statistical Moments

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Hankelet-based action classification for motor intention recognition

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Feature distribution-based label correlation in multi-label classification

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Object Categorization Using Kernels Combining Graphs and Histograms of Gradients

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Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning

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Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace

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Multiple label prediction for image annotation with multiple Kernel correlation models

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Minimum Description Length Penalization for Group and Multi-Task Sparse Learning

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Machine Learning Methodology in Bioinformatics

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An adaptive support vector regression based on a new sequence of unified orthogonal polynomials

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An Introduction to Kernel Learning Algorithms

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An efficient system for combining complementary kernels in complex visual categorization tasks

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Efficient Multitemplate Learning for Structured Prediction

Mao, Q., & Tsang, I. W.-H. (2012) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2012.2228228 · Cited by 15

Linear dependency modeling for feature fusion

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Nearest-neighbor method using multiple neighborhood similarities for social media data mining

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Computational probing protein–protein interactions targeting small molecules

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On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation

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Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval

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Hyperspectral Imagery Classification Based on Rotation-Invariant Spectral–Spatial Feature

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Density-Based Penalty Parameter Optimization on C-SVM

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Quadratic, Semidefinite, and Second-Order Cone Programming

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Multi-target linear-quadratic control problem and second-order cone programming

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Nonconvex Quadratic Programming

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An Improved Algorithm for Indefinite Quadratic Programming

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On improving convex quadratic programming relaxation for the quadratic assignment problem

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