Distance Based Active Learning for Domain Adaptation

Christian Pölitz

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Distance Based Active Learning for Domain Adaptation

Topics: Active Learning; Natural Language Processing

In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 296-303, 2015 , Lisbon, Portugal

Author: Christian Pölitz

Affiliation: Technische Universität Dortmund, Germany

Keyword(s): Transfer Learning, Active Learning.

Related Ontology Subjects/Areas/Topics: Active Learning ; Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

Abstract: We investigate methods to apply Domain Adaptation coupled with Active Learning to reduce the number of labels needed to train a classifier. We assume to have a classification task on a given unlabelled set of documents and access to labels from different documents of other sets. The documents from the other sets come from different distributions. Our approach uses Domain Adaptation together with Active Learning to find a minimum number of labelled documents from the different sets to train a high quality classifier. We assume that documents from different sets that are close in a latent topic space can be used for a classification task on a given different set of documents.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.145.167.58

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Pölitz, C. (2015). Distance Based Active Learning for Domain Adaptation. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-076-5; ISSN 2184-4313, SciTePress, pages 296-303. DOI: 10.5220/0005217302960303

@conference{icpram15,
author={Christian Pölitz.},
title={Distance Based Active Learning for Domain Adaptation},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2015},
pages={296-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005217302960303},
isbn={978-989-758-076-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Distance Based Active Learning for Domain Adaptation
SN - 978-989-758-076-5
IS - 2184-4313
AU - Pölitz, C.
PY - 2015
SP - 296
EP - 303
DO - 10.5220/0005217302960303
PB - SciTePress