Active learning for noisy oracle via density power divergence
type: Item
instance of: scholarly article
title: Active learning for noisy oracle via density power divergence
zbMATH Open document ID: 1296.68146
author: Yasuhiro Sogawa
author: Tsuyoshi Ueno
author: Yoshinobu Kawahara
author: Takashi Washio
published in: Neural Networks
publication date: 2014-10-10T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62F35
zbMATH DE Number: 6353462
zbMATH Keywords: noisy oracle
zbMATH Keywords: active learning
zbMATH Keywords: density power divergence
describes a project that uses: UCI-ml
describes a project that uses: LIBSVM
MaRDI profile type: Publication
Wikidata QID: Q43422796
full work available at URL: j.neunet.2013.05.007
OpenAlex ID: W2034913716
cites work: Robust and efficient estimation by minimising a density power divergence
cites work: Robust parameter estimation with a small bias against heavy contamination
cites work: Robust Statistics
cites work: A least-squares approach to direct importance estimation
cites work: Active learning algorithm using the maximum weighted log-likelihood estimator
cites work: Soft margins for AdaBoost
cites work: Q3093341
cites work: Direct importance estimation for covariate shift adaptation
cites work: Support vector machine active learning with applications to text classification
cites work: Asymptotic Statistics
DBLP publication ID: journals/nn/SogawaUKW13
DOI: 10.1016/J.NEUNET.2013.05.007
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description: scientific article; zbMATH DE number 6353462