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...

Fast quantile regression in reproducing kernel Hilbert space

Journal of the Korean Statistical Society, 2022, 51(2), , pp.568-588

Zheng, Songfeng

2022

Volltextzugriff (PDF)

KLERC: kernel Lagrangian expectile regression calculator

Computational statistics, 2021-03, Vol.36 (1), p.283-311

Zheng, Songfeng

2021

Volltextzugriff (PDF)

Cooperative Sensing via Sequential Detection

IEEE transactions on signal processing, 2010-12, Vol.58 (12), p.6266-6283

2010

Volltextzugriff (PDF)

Speeding up L2-loss support vector regression by random Fourier features

Communications in statistics. Simulation and computation, 2024, Vol.53 (2), p.933-951

Zheng, Songfeng

2024

Volltextzugriff (PDF)

Speeding up L 2-loss support vector regression by random Fourier features

Communications in statistics. Simulation and computation, 2024-02, Vol.53 (2), p.933-951

Zheng, Songfeng

2024

Volltextzugriff (PDF)

A generalized alternating harmonic series

AIMS mathematics, 2021-01, Vol.6 (12), p.13480-13487

2021

Volltextzugriff (PDF)

Applying tree-based ensemble algorithms to the classification of ecological zones using multi-temporal multi-source remote-sensing data

International journal of remote sensing, 2012-01, Vol.33 (6), p.1823-1849

2012

Volltextzugriff (PDF)

Functional gradient ascent for Probit regression

Pattern recognition, 2012-12, Vol.45 (12), p.4428-4437

2012

Volltextzugriff (PDF)

Smoothly approximated support vector domain description

Pattern recognition, 2016-01, Vol.49, p.55-64

Zheng, Songfeng

2016

Volltextzugriff (PDF)

Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution Imagery

IEEE geoscience and remote sensing letters, 2016-06, Vol.13 (6), p.787-791

2016

Volltextzugriff (PDF)

A majorization-minimization scheme for L 2 support vector regression

Journal of statistical computation and simulation, 2021-10, Vol.91 (15), p.3087-3107

Zheng, Songfeng

2021

Volltextzugriff (PDF)

A majorization-minimization scheme for L2 support vector regression

Journal of statistical computation and simulation, 2021-10, Vol.91 (15), p.3087-3107

Zheng, Songfeng

2021

Volltextzugriff (PDF)

Iteratively reweighted least square for asymmetric L 2-Loss support vector regression

Communications in statistics. Simulation and computation, 2021-08, Vol.50 (7), p.2151-2167

Zheng, Songfeng

2021

Volltextzugriff (PDF)

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach

IEEE transactions on medical imaging, 2007-04, Vol.26 (4), p.541-552

2007

Volltextzugriff (PDF)

Iteratively reweighted least square for asymmetric L2-Loss support vector regression

Communications in statistics. Simulation and computation, 2021-01, Vol.50 (7), p.2151-2167

Zheng, Songfeng

2021

Volltextzugriff (PDF)

Detecting object boundaries using low-, mid-, and high-level information

Computer vision and image understanding, 2010-10, Vol.114 (10), p.1055-1067

2010

Volltextzugriff (PDF)

An improved Bennett's inequality

Communications in statistics. Theory and methods, 2018-09, Vol.47 (17), p.4152-4159

Zheng, Songfeng

2018

Volltextzugriff (PDF)

Iteratively reweighted least square for kernel expectile regression with random features

Journal of statistical computation and simulation, 2023-09, Vol.93 (14), p.2370-2389

2023

Volltextzugriff (PDF)

A support vector approach based on penalty function method

Advances in computational intelligence, 2022-02, Vol.2 (1), p.9, Article 9

Zheng, Songfeng

2022

Volltextzugriff (PDF)

A fast iterative algorithm for support vector data description

International journal of machine learning and cybernetics, 2019-05, Vol.10 (5), p.1173-1187

Zheng, Songfeng

2019

Volltextzugriff (PDF)

A refined Hoeffding’s upper tail probability bound for sum of independent random variables

Statistics & probability letters, 2017-12, Vol.131, p.87-92

Zheng, Songfeng

2017

Volltextzugriff (PDF)

QBoost: Predicting quantiles with boosting for regression and binary classification

Expert systems with applications, 2012-02, Vol.39 (2), p.1687-1697

Zheng, Songfeng

2012

Volltextzugriff (PDF)

Shape matching and registration by data-driven EM

Computer vision and image understanding, 2008-03, Vol.109 (3), p.290-304

2008

Volltextzugriff (PDF)

A fast algorithm for training support vector regression via smoothed primal function minimization

International journal of machine learning and cybernetics, 2015-02, Vol.6 (1), p.155-166

Zheng, Songfeng

2015

Volltextzugriff (PDF)

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification

Computers in biology and medicine, 2011-11, Vol.41 (11), p.1033-1040

2011

Volltextzugriff (PDF)

1 – 25 von 161

Menü

Weitere Dienste

Einstellungen

Fast quantile regression in reproducing kernel Hilbert space

KLERC: kernel Lagrangian expectile regression calculator

Cooperative Sensing via Sequential Detection

Speeding up L2-loss support vector regression by random Fourier features

Speeding up L 2-loss support vector regression by random Fourier features

A generalized alternating harmonic series

Applying tree-based ensemble algorithms to the classification of ecological zones using multi-temporal multi-source remote-sensing data

Functional gradient ascent for Probit regression

Smoothly approximated support vector domain description

Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution Imagery

A majorization-minimization scheme for L 2 support vector regression

A majorization-minimization scheme for L2 support vector regression

Iteratively reweighted least square for asymmetric L 2-Loss support vector regression

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach

Iteratively reweighted least square for asymmetric L2-Loss support vector regression

Detecting object boundaries using low-, mid-, and high-level information

An improved Bennett's inequality

Iteratively reweighted least square for kernel expectile regression with random features

A support vector approach based on penalty function method

A fast iterative algorithm for support vector data description

A refined Hoeffding’s upper tail probability bound for sum of independent random variables

QBoost: Predicting quantiles with boosting for regression and binary classification

Shape matching and registration by data-driven EM

A fast algorithm for training support vector regression via smoothed primal function minimization

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification

Suchergebnisse filtern