Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
type: Item
instance of: scholarly article
title: Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
zbMATH Open document ID: 1325.68206
author: Shangping Zhong
author: Tianshun Chen
author: Feng-ying He
author: Yuzhen Niu
published in: Neural Networks
publication date: 2015-11-06T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 90C26
zbMATH DE Number: 6505384
zbMATH Keywords: fast Gaussian kernel learning method
zbMATH Keywords: specially structured global optimization
zbMATH Keywords: kernel target alignment criterion
zbMATH Keywords: difference of convex functions
zbMATH Keywords: difference of increasing functions
zbMATH Keywords: Hoffman's outer approximation method
Wikidata QID: Q50655654
describes a project that uses: UCI-ml
describes a project that uses: LIBSVM
describes a project that uses: Delve Datasets
describes a project that uses: Delve Utilities
MaRDI profile type: Publication
full work available at URL: j.neunet.2014.05.014
OpenAlex ID: W2039025536
cites work: Improving Newton-Raphson method for nonlinear equations by modified Adomian decomposition method
cites work: A review of recent advances in global optimization
cites work: Gradient-Based Adaptation of General Gaussian Kernels
cites work: A method for globally minimizing concave functions over convex sets
cites work: Introduction to global optimization.
cites work: Low-rank kernel learning with Bregman matrix divergences
cites work: Q3093181
cites work: Convexification, concavification and monotonization in global optimization
cites work: An efficient kernel matrix evaluation measure
cites work: Fast rates for support vector machines using Gaussian kernels
cites work: Q4066417
cites work: Q3378484
cites work: Gaussian kernel optimization for pattern classification
cites work: Generalization performance of Gaussian kernels SVMC based on Markov sampling
cites work: Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification
DBLP publication ID: journals/nn/ZhongCHN14
DOI: 10.1016/J.NEUNET.2014.05.014
description: scientific article; zbMATH DE number 6505384