Support Vector Machines

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1 papers in the last 28 days · 0.0% of indexed attention

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Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Support Vector Machines.

48 papers

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  1. Sharp margin-based generalization bounds for realizable SVM

    Sep 15, 2026Steve Hanneke, Aryeh KontorovichSupport Vector MachinesGeneralization Bounds

  2. Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM

    Sep 15, 2026Ahmed Ammar Kubba, Manar Abu Talib, Iman Ibrahim +1Multimodal Artificial IntelligenceSupport Vector Machines

  3. Data-Optimized Contingency Screening: A Machine Learning Approach to Power System Security

    Sep 7, 2026Joshua Salako, Folajimi Osikomaiya, Olakorede OlamijuPower SystemsAc Optimal Power Flow

  4. Concept Drift Detection and Adaptive Retraining of Malware Classification Models

    Aug 13, 2026Christofer Washington Berruz Chungata, Martin Jurecek, Katerina Potika +2Malware DetectionSupport Vector Machines

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

    Aug 12, 2026Kai Qi, Xinji Huang, Hongchun WangSupport Vector MachinesRegularization Techniques

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

    Aug 2, 2026Xiaofei Wu, Kai Qi, Rongmei LiangSupport Vector MachinesQuadratic Slack Penalty

  7. CHiPS: Character Histograms and Positional Signals for Lightweight Authorship Attribution in Romanian Texts

    Jul 24, 2026Sanda-Maria Avram, George C. ŢurcaşAuthorshipHuman Annotators

  8. Deep Convolutional Large-Margin \ell_p-SVDD for Visual Anomaly Detection

    Jul 24, 2026Alireza Dastmalchi Saei, Shervin Rahimzadeh ArashlooReconstruction-Based Anomaly DetectionAnomaly Detection

  9. 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 +1Quantum Approximate Optimization AlgorithmCosine Annealing

  10. An Iterative Geometric Approach to Optimizing Separating Hyperplanes

    Jul 19, 2026Akos HajnalSupport Vector MachinesSeparability

  11. Forgetful Attention: A Trainable Support-Vector Memory with Certified Selection and Exact Unlearning

    Jul 13, 2026Vishwajith RameshSoftmax AttentionForgetting

  12. A Coreset Selection Framework with Ensemble Aggregation for Image Classification

    Jul 10, 2026Pedro Rocha Dantas, Lucas Pascotti ValemGeometry-Aware Uncertainty CoresetsImage Classification

  13. A Generalized Deep Non-negative Matrix Factorization Approach for SAR Automatic Target Recognition

    Jul 8, 2026Yunhong Zhang, Changjie Cao, Zhongli Zhou +4Synthetic Aperture RadarNonnegative Matrix Factorization

  14. msPCA: An R Package for Sparse PCA with Multiple Components

    Jul 6, 2026Ryan Cory-Wright, Jean PauphiletPrincipal Component AnalysisFeature Selection

  15. Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning

    Jul 4, 2026Zhen Huang, Peicheng Xu, Junbiao Pang +1Feature SelectionLasso

  16. Predicting Lethal Outcome (Cause) And Understanding Key Biomarkers Linked With Acute Myocardial Infarction Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies

    Jul 1, 2026Sagnik GhoshBiomarkerMachine Learning

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

    Jun 22, 2026Praveg VashishthaKernel MethodSingular Value Decomposition

  18. From CVE to CWE: Syscall-Based HIDS Generalisation

    Jun 21, 2026Alexander V. Kozachok, Stanislav G. Vyugov, Shamil G. MagomedovIntrusion DetectionVulnerability Detection & Repair

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

    Jun 20, 2026Andrey Lange, Dmitry Smolyakov, Evgeny BurnaevSupport Vector MachinesLearning-Augmented Algorithms

  20. A Prototypical Signature Approach for Writer-Independent Offline Signature Verification

    Jun 16, 2026Kecia G. de Moura, Robert Sabourin, Rafael M. O. CruzOnline Signature VerificationDistributional Signatures

  21. 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 MachinesEnsemble

  22. Simplex-Constrained Sparse Bagging: Transitioning from Uniform Priors to Sparse Posteriors in Ensemble Learning

    Jun 11, 2026Meher Sai Preetam Madiraju, Meher Bhaskar MadirajuEnsembleDecision Trees

  23. Varifold Moment Invariants for Sustainable and Explainable Contour Feature Extraction

    Jun 5, 2026G. Longari, J. -C. Alvarez Paiva, A. B. TumpachContoursSupport Vector Machines

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

    Jun 4, 2026Yuliang Yang, Chen Chen, Yuxiang Liu +1Support Vector MachinesMulti-View

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

    Jun 3, 2026Yogesh Kumar, Vrushank Ahire, Mudasir GanaieAlzheimerDisease Detection

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

    Jun 2, 2026Yohei Kakimoto, Yuto Omae, Hirotaka TakahashiConvex OptimizationRadial Basis Function

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

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinQuantile RegressionSupport Vector Machines

  28. ChurnNet: A Optimized Modern AI for Churn Prediction

    May 29, 2026Syed Saad Saif, Giulio Maggiore, Paolo Russo +1Churn PredictionSupport Vector Machines

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

    May 21, 2026Artur MiroszewskiQuantum KernelsSupport Vector Machines

  30. Toward Near-Real-Time Marine Oil Spill Detection in SAR Imagery using Quantum-Assisted SVM

    May 17, 2026Joseph Strauss, Jyotsna SharmaSynthetic Aperture RadarSupport Vector Machines

  31. 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

  32. Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies

    May 5, 2026Senne Deproost, Mehrdad Asadi, Ann NowéState SpaceVoronoi Regions

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

    May 5, 2026Nourin Jahan, Muhammed Navas T, Tanujit Chakraborty +1Air PollutionSpatio-Temporal Forecasting

  34. 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 +3Support Vector MachinesPhishing

  35. Data driven approach for Outdoor Channel Prediction in 5G and Beyond

    May 3, 2026A. Sathi Babu, V. Udaya Sankar, Vishnu Ram OVJoint Channel EstimationChannel Modeling

  36. Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series

    Apr 30, 2026Christopher Holder, Anthony BagnallTime-Series ClassificationTime Series

  37. Semi-supervised learning with max-margin graph cuts

    Apr 29, 2026Branislav Kveton, Michal Valko, Ali Rahimi +1Semi-Supervised LearningSupport Vector Machines

  38. Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

    Apr 28, 2026Emre Ardıç, Yakup GençFederated LearningSupport Vector Machines

  39. Deflation-Free Optimal Scoring

    Apr 28, 2026Sharmin Afroz, Brendan AmesSupport Vector MachinesRegularization Techniques

  40. Benchmarking Logistic Regression, SVM, and LightGBM Against BiLSTM with Attention for Sentiment Analysis on Indonesian Product Reviews

    Apr 28, 2026Razin Hafid Hamdi, Ivana Margareth Hutabarat, Hanna Gresia Sinaga +3Term Frequency-Inverse Document FrequencyBidirectional Long Short-Term Memory

  41. Elite-Driven Support Vector Machines for Classification

    Apr 28, 2026Mohammad Jafari Jozani, Bahram MoeinianfarSupport Vector MachinesMle-Bench Lite

  42. L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing

    Apr 18, 2026Yun-Peng Li, Hans-Andrea LoeligerLassoRegularization Techniques

  43. Structural interpretability in SVMs with truncated orthogonal polynomial kernels

    Apr 16, 2026Víctor Soto-Larrosa, Nuria Torrado, Edmundo J. HuertasSupport Vector MachinesKernel Method

  44. Speech Emotion Recognition Using MFCC Features and LSTM-Based Deep Learning Model

    Apr 16, 2026Adelekun Oluwademilade, Ademola Adedamola, Abiola Abdulhakeem +7Emotion RecognitionMel-Frequency Cepstral Coefficient

  45. Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification

    Apr 13, 2026Muhammad Junaid Asif, Muhammad Saad Rafaqat, Usman Nazakat +2PhotovoltaicScalable Defect Detection

  46. Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits

    Dec 16, 2025Michael Murray, Tenzin Chan, Kedar Karhadker +1Hopfield NetworksSymmetry

  47. A Provably-Correct and Robust Convex Model for Smooth Separable NMF

    Nov 10, 2025Junjun Pan, Valentin Leplat, Michael Ng +1Nonnegative Matrix FactorizationSupport Vector Machines

  48. Experiments with Optimal Model Trees

    Mar 17, 2025Sabino Francesco Roselli, Eibe FrankDecision TreesInterpretable Models