UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Anomaly detection in dynamic attributed networks

Neural computing & applications, 2021-03, Vol.33 (6), p.2125-2136

2021

Volltextzugriff (PDF)

Nonparallel Support Vector Ordinal Regression

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3306-3317

2017

Volltextzugriff (PDF)

Parallel algorithm for training multiclass proximal Support Vector Machines

Applied mathematics and computation, 2011-02, Vol.217 (12), p.5328-5337

Niu, Lingfeng

2011

Volltextzugriff (PDF)

Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

IEEE photonics journal, 2022-08, Vol.14 (4), p.1-8

2022

Volltextzugriff (PDF)

A Survey on Feature Selection

Procedia computer science, 2016, Vol.91, p.919-926

2016

Volltextzugriff (PDF)

Learning With Label Proportions via NPSVM

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3293-3305

2017

Volltextzugriff (PDF)

Feature Selection With \ell Regularization

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4967-4982

2018

Volltextzugriff (PDF)

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

IEEE access, 2019, Vol.7, p.17195-17206

2019

Volltextzugriff (PDF)

Graph-Based Clustering via Group Sparsity and Manifold Regularization

IEEE access, 2019, Vol.7, p.172123-172135

2019

Volltextzugriff (PDF)

Nonsmooth Penalized Clustering via \ell Regularized Sparse Regression

IEEE transactions on cybernetics, 2017-06, Vol.47 (6), p.1423-1433

2017

Volltextzugriff (PDF)

Transformed ℓ1 regularization for learning sparse deep neural networks

Neural networks, 2019-11, Vol.119, p.286-298

2019

Volltextzugriff (PDF)

A Brief Survey on Learning Based Methods for Vehicle Routing Problems

Procedia computer science, 2023, Vol.221, p.773-780

2023

Volltextzugriff (PDF)

Two-level adversarial attacks for graph neural networks

Information sciences, 2024-01, Vol.654, p.119877, Article 119877

2024

Volltextzugriff (PDF)

Training the max-margin sequence model with the relaxed slack variables

Neural networks, 2012-09, Vol.33, p.228-235

2012

Volltextzugriff (PDF)

Unsupervised feature selection for attributed graphs

Expert systems with applications, 2021-04, Vol.168, p.114402, Article 114402

2021

Volltextzugriff (PDF)

Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization

SIAM journal on optimization, 2013-01, Vol.23 (3), p.1528-1552

2013

Volltextzugriff (PDF)

Wasserstein distance regularized graph neural networks

Information sciences, 2024-06, Vol.670, p.120608, Article 120608

2024

Volltextzugriff (PDF)

A NEW TRUST-REGION ALGORITHM FOR NONLINEAR CONSTRAINED OPTIMIZATION

Journal of computational mathematics, 2010, Vol.28 (1), p.72-86

2010

Volltextzugriff (PDF)

Sparse optimization guided pruning for neural networks

Neurocomputing (Amsterdam), 2024-03, Vol.574, p.127280, Article 127280

2024

Volltextzugriff (PDF)

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

Methods (San Diego, Calif.), 2022-07, Vol.203, p.152-159

2022

Volltextzugriff (PDF)

Feature Selection of Network Data VIA ℓ2,p Regularization

Cognitive computation, 2020-11, Vol.12 (6), p.1217-1232

2020

Volltextzugriff (PDF)

Federated learning with ℓ1 regularization

Pattern recognition letters, 2023-08, Vol.172, p.15-21

2023

Volltextzugriff (PDF)

Federated learning with ℓ 1 regularization

Pattern recognition letters, 2023-08, Vol.172, p.15-21

2023

Volltextzugriff (PDF)

Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines

Foundations of computing and decision sciences, 2015-03, Vol.40 (1), p.67-86

2015

Volltextzugriff (PDF)

A lightweight network for COVID-19 detection in X-ray images

Methods (San Diego, Calif.), 2023-01, Vol.209, p.29-37

2023

Volltextzugriff (PDF)

1 – 25 von 186

Menü

Weitere Dienste

Einstellungen

Anomaly detection in dynamic attributed networks

Nonparallel Support Vector Ordinal Regression

Parallel algorithm for training multiclass proximal Support Vector Machines

Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

A Survey on Feature Selection

Learning With Label Proportions via NPSVM

Feature Selection With \ell Regularization

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

Graph-Based Clustering via Group Sparsity and Manifold Regularization

Nonsmooth Penalized Clustering via \ell Regularized Sparse Regression

Transformed ℓ1 regularization for learning sparse deep neural networks

A Brief Survey on Learning Based Methods for Vehicle Routing Problems

Two-level adversarial attacks for graph neural networks

Training the max-margin sequence model with the relaxed slack variables

Unsupervised feature selection for attributed graphs

Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization

Wasserstein distance regularized graph neural networks

A NEW TRUST-REGION ALGORITHM FOR NONLINEAR CONSTRAINED OPTIMIZATION

Sparse optimization guided pruning for neural networks

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

Feature Selection of Network Data VIA ℓ2,p Regularization

Federated learning with ℓ1 regularization

Federated learning with ℓ 1 regularization

Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines

A lightweight network for COVID-19 detection in X-ray images

Aktive Filter

Suchergebnisse filtern