Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning
type: Item
instance of: scholarly article
title: Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning
zbMATH Open document ID: 1470.68116
author: Chun-Nan Hsu
author: Han-Shen Huang
author: Yu-Ming Chang
author: Yuh-Jye Lee
published in: Machine Learning
publication date: 2010-10-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62M40
Mathematics Subject Classification ID: 68W27
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 5796835
zbMATH Keywords: conditional random fields
zbMATH Keywords: convolutional neural networks
zbMATH Keywords: online learning
zbMATH Keywords: sequence labeling
zbMATH Keywords: stochastic gradient descent
describes a project that uses: LIBSVM
describes a project that uses: CRF++
describes a project that uses: SVMlight
describes a project that uses: Pegasos
describes a project that uses: MNIST
MaRDI profile type: Publication
full work available at URL: s10994-009-5142-6
OpenAlex ID: W2102547221
cites work: Q3780804
cites work: On‐line learning for very large data sets
cites work: Q3995065
cites work: Q3096171
cites work: Q4139463
cites work: On computing the largest fraction of missing information for the EM algorithm and the worst linear function for data augmentation.
cites work: Q4353852
cites work: On the global and componentwise rates of convergence of the EM algorithm
cites work: Q4762626
cites work: Statistical analysis of learning dynamics
cites work: Numerical Optimization
cites work: Q5652137
cites work: Q4246485
cites work: Q4706739
cites work: Pegasos: primal estimated sub-gradient solver for SVM
cites work: Introduction to Stochastic Search and Optimization
cites work: Q5732060
cites work: Q3093306
cites work: Q3093384
DOI: 10.1007/S10994-009-5142-6
description: scientific article; zbMATH DE number 5796835