Support Vector Machines

Also known as SVM

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Second-order optimization of variable projection SVM models and road abnormality detection

    Oct 7, 2026Andrea Angino, Matthias Voigt, Rolf Krause +1Second-Order OptimizationSupport Vector Machines

    Faculty of Mathematics and Computer Science, UniDistance Suisse, Brig, Switzerland · CEMSE Division, KAUST, Thuwal, Saudi Arabia · Eötvös Loránd University, Faculty of Informatics, Department of Numerical Analysis

  2. High-Dimensional Statistical Inference for Sparse Support Vector Machines

    Oct 6, 2026Peng Zeng, Hanwen HuangSupport Vector MachinesFeature Selection

    Department of Mathematics and Statistics Auburn University, Auburn, AL 36849 · Department of Biostatistics, Data Science and Epidemiology Medical College of Georgia, Augusta University, Augusta, GA, 30912

  3. Asymptotic Properties of Support Vector Machines in High-Dimension, Low-Sample-Size Settings under a Spiked Model

    Sep 30, 2026Yugo NakayamaSupport Vector MachinesClassification

    Independent researcher

  4. Sharp margin-based generalization bounds for realizable SVM

    Sep 15, 2026Steve Hanneke, Aryeh KontorovichSupport Vector MachinesStatistical Learning Theory

  5. Sparse and robust geometric twin support vector machine via asymmetric RoBoSS loss function

    Aug 12, 2026Kai Qi, Xinji Huang, Hongchun WangNoisy-Label LearningRobust Loss Functions

    National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, 401331, China. · School of Mathematical Sciences, Chongqing Normal University, Chongqing, 401331, China.

  6. Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning

    Aug 4, 2026Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena, Alberto Lastra +2Support Vector MachinesKernel Methods

    Physics and Mathematics Department, University of Alcalá, Spain · Computer Science and Artificial Intelligence Department, University of Alcalá, Spain · Mathematics Department, Universidad Autónoma de Madrid, Spain

  7. Data-Driven Pinball-Loss Selection for Vertically Distributed Elastic-Net SVMs

    Aug 2, 2026Xiaofei Wu, Kai Qi, Rongmei LiangDistributed OptimizationAdaptive Loss Weighting

    Yunnan Key Laboratory of Statistical Modeling and Data Analysis, School of Mathematics and Statistics, Yunnan University, East Outer Ring South Road, University Town, Chenggong District, Kunming, Yunnan, China · National Center for Applied Mathematics in Chongqing, Chongqing Normal University, No. 37 University Town Middle Road, Shapingba District, Chongqing, China · Department of Statistics and Data Science, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan District, Shenzhen, Guangdong 518055, China

  8. Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers

    Jul 21, 2026Naoya Mizuki, Takahiro Katagiri, Daichi Mukunoki +1Black-Box OptimizationQuantum-Inspired ML

    Graduate School of Informatics, Nagoya University · Information Technology Center, Nagoya University

  9. An Iterative Geometric Approach to Optimizing Separating Hyperplanes

    Jul 19, 2026Akos HajnalSupport Vector MachinesConstrained Optimization

    Laboratory of Parallel and Distributed Systems Institute for Computer Science and Control (SZTAKI) · John von Neumann Faculty of Informatics Obuda University Budapest, Hungary

  10. Differential Spectral Damping Gap Adaptive Regularization for Ill-Conditioned Kernel Methods

    Jun 22, 2026Praveg VashishthaSpectral RegularizationSupport Vector Machines

    Department of Computer Science and Engineering, Indian Institute of Technology Patna, India · Sopra Banking Software India

  11. Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information

    Jun 20, 2026Andrey Lange, Dmitry Smolyakov, Evgeny BurnaevSupport Vector MachinesOne-Class Classification

    Skolkovo Institute of Science and Technology (Skoltech), Moscow 121205, Russia · Federal Research Center ‘‘Computer Science and Control" of Russian Academy of Sciences (FRC CSC RAS), Moscow 119333, Russia · Institute for Information Transmission Problems of Russian Academy of Sciences (IITP RAS), 127994 Moscow, Russia +1

  12. Decomposing one-class support vector machine into an ensemble of one-data support vector machines

    Jun 14, 2026Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita +1Support Vector MachinesClassification

    Faculty of Science, University of Hradec Kralove, Hradecká 1285, Hradec Kralove, 50003, Czech Republic · Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kampung Datuk Keramat, Kuala Lumpur, 54100, Malaysia · Regional Research Center, Iwate Prefectural University, Sugo 152-52, Takizawa, 020-0693, Iwate, Japan

  13. TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

    Jun 4, 2026Yikai Zhang, Gaoxiang Jia, Jie Ding +1Model SelectionKernel Regression

    Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA 52242, USA · Individual Researcher · AIScientists, Inc. (MorphMind), 245 Main Street, Cambridge, MA 02142, USA

  14. Robust and sparse support vector machine via hybrid truncated loss for supervised classification

    Jun 4, 2026Yuliang Yang, Chen Chen, Yuxiang Liu +1Multi-View LearningRobust Loss Functions

    School of Science, Beijing Forestry University, No.35 Qinghua East Road, 100083 Haidian, Beijing, China · Translational Cancer Research Center, Peking University First Hospital, No. 8 Xishiku Street, 100034 Xicheng, Beijing, China

  15. Intercomparison of Machine Learning Algorithms for Remote Sensing-based In-season Crop Mapping

    Jun 4, 2026August Posch, Jitendra Kumar, Forrest M. Hoffman +1Agricultural Remote SensingRemote Sensing

    Institute for Experiential Artificial Intelligence and Sustainability and Data Sciences Lab, Northeastern University, 216 Massachusetts Avenue, Boston, MA 02155 USA · Environmental Sciences Division, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830 USA · Computational Science and Engineering Division, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830 USA

  16. Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification

    Jun 3, 2026Yogesh Kumar, Vrushank Ahire, Mudasir GanaieAlzheimer's DiseaseMedical Image Classification

    Dept. of Computer Science and Engineering, IIT Ropar, Punjab 140001, India

  17. Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression

    Jun 2, 2026Yohei Kakimoto, Yuto Omae, Hirotaka TakahashiOptimization Convergence AnalysisSupport Vector Machines

    Nihon University · Tokyo City University

  18. Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinQuantile RegressionOOD Generalization

    Université Paris Cité, CNRS, MAP5, F-75006 Paris, France · Université Marie et Louis Pasteur, CNRS, LmB (UMR 6623), F-25000 Besançon, France · Université Paris Cité, Université Paris Saclay, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, F-75006, Paris, France

  19. Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations

    May 21, 2026Artur MiroszewskiAdaptive SamplingSupport Vector Machines

    Φ-lab, European Space Agency (ESA/ESRIN), Frascati, Italy

  20. Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning

    May 9, 2026Emmanuel AdutwumSupport Vector MachinesHyperparameter Optimization

    Soka University of America, Aliso Viejo, California, United States.

  21. A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches for Sentiment Classification on IMDb Movie Reviews

    May 8, 2026Erma Daniar Safitri, Lia Hana Ichisasmita, Citra Agustin +3Sentiment AnalysisSupport Vector Machines

    Department of Data Science Institut Teknologi Sumatera Lampung Selatan, 35365, Indonesia · Department of Informatics Engineering Institut Teknologi Sumatera Lampung Selatan, 35365, Indonesia

  22. GraphSVR: A Graph Convolutional Support Vector Regression Framework for Robust Spatiotemporal Air Pollution Forecasting

    May 5, 2026Nourin Jahan, Muhammed Navas T, Tanujit Chakraborty +1Air Quality PredictionSupport Vector Machines

    Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India · SAFIR, Sorbonne University, Abu Dhabi, UAE · SCAI - Sorbonne Cluster for Artificial Intelligence, Paris, France +1

  23. A Comparison of Traditional Machine Learning Algorithms and LSTM-Based Deep Learning Models for Email Sentiment Analysis

    May 5, 2026Virdio Samuel Saragih, Baruna Abirawa, Kartini Lovian Simbolon +3Sentiment AnalysisText Classification

    Faculty of Science Sumatra Institute of Technology

  24. Elite-Driven Support Vector Machines for Classification

    Apr 28, 2026Mohammad Jafari Jozani, Bahram MoeinianfarBinary ClassificationSupport Vector Machines

    Department of Statistics, University of Manitoba, Winnipeg, Manitoba, CANADA, R3T2N2

  25. Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation

    Apr 20, 2026Siavash Kakavand, Christoph Strohmeyer, Michael SchlotterQuantum Feature MapsQuantum Kernel Methods

    SHARE at FAU, Schaeffler Technologies AG & Co. KG, Herzogenaurach 91074, Bavaria, Germany

  26. Structural interpretability in SVMs with truncated orthogonal polynomial kernels

    Apr 16, 2026Víctor Soto-Larrosa, Nuria Torrado, Edmundo J. HuertasInterpretable MLSupport Vector Machines

    Dpto. de Biociencias, Facultad de Ciencias Biomédicas y de la Salud, Universidad Europea de Madrid, C/ Tajo, s/n, 28670 Villaviciosa de Odón, Madrid, Spain. · Dpto. de Matemáticas, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente, 7, 28049 Madrid, Spain. · Instituto de Ciencias Matemáticas (ICMAT), Campus de Cantoblanco UAM, C/ Nicolás Cabrera, 13–15, 28049 Madrid, Spain. +1

  27. OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection

    Jul 25, 2025Nicolas Pinon, Robin Trombetta, Carole LartizienMedical Image Anomaly DetectionUnsupervised Representation Learning

    MYRIAD

  28. Physics-Informed Support Vector Kernels via Green-Function Analogies and Jackson-Chebyshev Spectral Design

    Feb 16, 2025Nan-Hong Kuo, Renata WongSupport Vector MachinesKernel Methods

    Department of Physics, National Taiwan University, Taipei, Taiwan · Department of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan · Department of Neurology, Chang Gung Memorial Hospital, Keelung, Taiwan +1

  29. Classification of Financial Data Using Quantum Support Vector Machine

    Dec 14, 2024Seemanta Bhattacharjee, MD. Muhtasim Fuad, A. K. M. Fakhrul HossainQuantitative FinanceHybrid Quantum-Classical ML

    Shahjalal University Of Science and Technology, Sylhet-3114, Bangladesh