Generalized Reference Kernel With Negative Samples For Support Vector One-class Classification
Fuente:
arXiv
Saved in:
| Main Author: | Raitoharju, Jenni |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Linear-time One-Class Classification with Repeated Element-wise Folding
by: Raitoharju, Jenni
Published: (2024)
by: Raitoharju, Jenni
Published: (2024)
ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring
by: Wang, Zhaowen, et al.
Published: (2026)
by: Wang, Zhaowen, et al.
Published: (2026)
Multi-class Support Vector Machine with Maximizing Minimum Margin
by: Hao, Zhezheng, et al.
Published: (2023)
by: Hao, Zhezheng, et al.
Published: (2023)
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
by: Gu, Yuzhou, et al.
Published: (2023)
by: Gu, Yuzhou, et al.
Published: (2023)
The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines
by: Zhang, Di, et al.
Published: (2024)
by: Zhang, Di, et al.
Published: (2024)
A Fractional Fox H-Function Kernel for Support Vector Machines: Robust Classification via Weighted Transmutation Operators
by: Dorrego, Gustavo
Published: (2026)
by: Dorrego, Gustavo
Published: (2026)
Enhancing Quantum Support Vector Machines through Variational Kernel Training
by: Innan, Nouhaila, et al.
Published: (2023)
by: Innan, Nouhaila, et al.
Published: (2023)
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
by: Impiö, Mikko, et al.
Published: (2024)
by: Impiö, Mikko, et al.
Published: (2024)
Kernel $k$-Medoids as General Vector Quantization
by: Gerlach, Thore, et al.
Published: (2025)
by: Gerlach, Thore, et al.
Published: (2025)
Support Vector Machine Kernels as Quantum Propagators
by: Kuo, Nan-Hong, et al.
Published: (2025)
by: Kuo, Nan-Hong, et al.
Published: (2025)
Elite-Driven Support Vector Machines for Classification
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
by: Hagemann, Paul, et al.
Published: (2023)
by: Hagemann, Paul, et al.
Published: (2023)
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024)
by: Akpinar, Emine, et al.
Published: (2024)
Granular-Balls based Fuzzy Twin Support Vector Machine for Classification
by: Zhao, Lixi, et al.
Published: (2024)
by: Zhao, Lixi, et al.
Published: (2024)
A fast learning algorithm for One-Class Slab Support Vector Machines
by: Kumar, Bagesh, et al.
Published: (2020)
by: Kumar, Bagesh, et al.
Published: (2020)
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
by: Tscharke, Kilian, et al.
Published: (2023)
by: Tscharke, Kilian, et al.
Published: (2023)
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
by: Datta, Shounak, et al.
Published: (2017)
by: Datta, Shounak, et al.
Published: (2017)
An Algorithm to perform Covariance-Adjusted Support Vector Classification in Non-Euclidean Spaces
by: Sahoo, Satyajeet, et al.
Published: (2025)
by: Sahoo, Satyajeet, et al.
Published: (2025)
Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis
by: Khurana, Varun, et al.
Published: (2024)
by: Khurana, Varun, et al.
Published: (2024)
Fast and interpretable Support Vector Classification based on the truncated ANOVA decomposition
by: Akhalaya, Kseniya, et al.
Published: (2024)
by: Akhalaya, Kseniya, et al.
Published: (2024)
Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine
by: Quadir, A., et al.
Published: (2024)
by: Quadir, A., et al.
Published: (2024)
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data
by: Moosaei, Hossein, et al.
Published: (2024)
by: Moosaei, Hossein, et al.
Published: (2024)
Classification of Financial Data Using Quantum Support Vector Machine
by: Bhattacharjee, Seemanta, et al.
Published: (2024)
by: Bhattacharjee, Seemanta, et al.
Published: (2024)
The Neural Tangent Kernel for Classification
by: Plenk, Jonathan, et al.
Published: (2026)
by: Plenk, Jonathan, et al.
Published: (2026)
A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
by: De Leone, Renato, et al.
Published: (2023)
by: De Leone, Renato, et al.
Published: (2023)
A Novel Loss Function-based Support Vector Machine for Binary Classification
by: Li, Yan, et al.
Published: (2024)
by: Li, Yan, et al.
Published: (2024)
Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
by: Sharma, Diksha, et al.
Published: (2024)
by: Sharma, Diksha, et al.
Published: (2024)
One Class Restricted Kernel Machines
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
by: Xu, Hongzuo, et al.
Published: (2022)
by: Xu, Hongzuo, et al.
Published: (2022)
Deep Support Vectors
by: Lee, Junhoo, et al.
Published: (2024)
by: Lee, Junhoo, et al.
Published: (2024)
A Robust Support Vector Machine Approach for Raman COVID-19 Data Classification
by: Piazza, Marco, et al.
Published: (2025)
by: Piazza, Marco, et al.
Published: (2025)
Parallel Algorithms for Structured Sparse Support Vector Machines: Application in Music Genre Classification
by: Liang, Rongmei, et al.
Published: (2025)
by: Liang, Rongmei, et al.
Published: (2025)
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
by: Hafidi, My Youssef El, et al.
Published: (2025)
by: Hafidi, My Youssef El, et al.
Published: (2025)
Contrastive Learning with Negative Sampling Correction
by: Wang, Lu, et al.
Published: (2024)
by: Wang, Lu, et al.
Published: (2024)
Enhanced Water Leak Detection with Convolutional Neural Networks and One-Class Support Vector Machine
by: Leonzio, Daniele Ugo, et al.
Published: (2025)
by: Leonzio, Daniele Ugo, et al.
Published: (2025)
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
by: Moussa, Rebecca, et al.
Published: (2022)
by: Moussa, Rebecca, et al.
Published: (2022)
Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers
by: Saha, Dheeman, et al.
Published: (2024)
by: Saha, Dheeman, et al.
Published: (2024)
Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections
by: Lian, Junbo Jacob
Published: (2024)
by: Lian, Junbo Jacob
Published: (2024)
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
by: Gulati, Aryan, et al.
Published: (2024)
by: Gulati, Aryan, et al.
Published: (2024)
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)
by: Ai, Wei, et al.
Published: (2024)
Similar Items
-
Linear-time One-Class Classification with Repeated Element-wise Folding
by: Raitoharju, Jenni
Published: (2024) -
ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring
by: Wang, Zhaowen, et al.
Published: (2026) -
Multi-class Support Vector Machine with Maximizing Minimum Margin
by: Hao, Zhezheng, et al.
Published: (2023) -
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
by: Gu, Yuzhou, et al.
Published: (2023) -
The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines
by: Zhang, Di, et al.
Published: (2024)