Image de couverture de livre

$p$SVM: Soft-margin SVMs with $p$-norm Hinge Loss

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Sun, Haoxiang
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Convex Loss Functions for Support Vector Machines (SVMs) and Neural Networks
par: Portera, Filippo
Publié: (2026)

HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
par: Goni, Osman, et autres
Publié: (2025)

Multiview learning with twin parametric margin SVM
par: Quadir, A., et autres
Publié: (2024)

Entanglement Detection with Quantum-inspired Kernels and SVMs
par: Martínez-Sabiote, Ana, et autres
Publié: (2025)

Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
par: Getu, Tilahun M., et autres
Publié: (2023)

Manifold Clustering with Schatten p-norm Maximization
par: Li, Fangfang, et autres
Publié: (2025)

Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations
par: Miroszewski, Artur
Publié: (2026)

Structured Prediction with Abstention via the Lovász Hinge
par: Finocchiaro, Jessie, et autres
Publié: (2025)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer
par: Zardini, Enrico, et autres
Publié: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
par: Ordóñez, Sebastián Andrés Cajas, et autres
Publié: (2025)

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
par: Xiong, Ziliang, et autres
Publié: (2023)

Beyond $\ell_2$-norm and $\ell_\infty$-norm: A Curvature-Inspired $\ell_p$-Norm Scheme for Deep Neural Networks
par: Xu, Jianhao, et autres
Publié: (2026)

Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria
par: Maung, Aye Aye, et autres
Publié: (2025)

Iterative Refinement for $\ell_p$-norm Regression
par: Adil, Deeksha, et autres
Publié: (2019)

Uncertainty Quantification in SVM prediction
par: Anand, Pritam
Publié: (2025)

Concept Drift Visualization of SVM with Shifting Window
par: Galmeanu, Honorius, et autres
Publié: (2024)

Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting
par: Li, Hongyi, et autres
Publié: (2026)

Smooth Ranking SVM via Cutting-Plane Method
par: Ozcan, Erhan Can, et autres
Publié: (2024)

On the Impact of Weight Discretization in QUBO-Based SVM Training
par: Mücke, Sascha
Publié: (2025)

Late Breaking Results: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs
par: Besias, Spyridon, et autres
Publié: (2025)

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
par: Wang, Mengdi, et autres
Publié: (2024)

When fractional quasi p-norms concentrate
par: Tyukin, Ivan Y., et autres
Publié: (2025)

Online Correlation Clustering: Simultaneously Optimizing All $\ell_p$-norms
par: Davies, Sami, et autres
Publié: (2025)

Softmax is $1/2$-Lipschitz: A tight bound across all $\ell_p$ norms
par: Nair, Pravin
Publié: (2025)

Probabilistic Quantum SVM Training on Ising Machine
par: He, Haoqi, et autres
Publié: (2025)

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features
par: Kaushik, Chiraag, et autres
Publié: (2023)

Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models
par: Ardeshirifar, Ramtin
Publié: (2024)

ODTE -- An ensemble of multi-class SVM-based oblique decision trees
par: Montañana, Ricardo, et autres
Publié: (2024)

An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees
par: Suk, Joe, et autres
Publié: (2025)

Structural interpretability in SVMs with truncated orthogonal polynomial kernels
par: Soto-Larrosa, Víctor, et autres
Publié: (2026)

Hinge-FM2I: An Approach using Image Inpainting for Interpolating Missing Data in Univariate Time Series
par: Saad, Noufel, et autres
Publié: (2024)

RPN: Reconciled Polynomial Network Towards Unifying PGMs, Kernel SVMs, MLP and KAN
par: Zhang, Jiawei
Publié: (2024)

Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing
par: Tanveer, M., et autres
Publié: (2024)

Generalization Error Matters in Decentralized Learning Under Byzantine Attacks
par: Ye, Haoxiang, et autres
Publié: (2024)

Real-Time Weather Image Classification with SVM
par: Ship, Eden, et autres
Publié: (2024)

Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
par: Giffary, Novan Fauzi Al, et autres
Publié: (2024)

Snacks: a fast large-scale kernel SVM solver
par: Tanji, Sofiane, et autres
Publié: (2023)

Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance
par: Akhtar, Mushir, et autres
Publié: (2024)

Domain Independent SVM for Transfer Learning in Brain Decoding
par: Zhou, Shuo, et autres
Publié: (2019)

Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias
par: Zhang, Shuofeng, et autres
Publié: (2025)