FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation

FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation

Information is critical in almost all decision makingprocesses. Therefore, it is important to get the right informationat the right time from the right sources. However, informationsources may behave differently while providing information i.e., they may provide unreliable, erroneous, noisy, or misl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Sensoy,Murat, Kaplan,Lance, Ayci,Gonul, Mel,Geeth
Format: Report
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Sensoy,Murat
Kaplan,Lance
Ayci,Gonul
Mel,Geeth
description Information is critical in almost all decision makingprocesses. Therefore, it is important to get the right informationat the right time from the right sources. However, informationsources may behave differently while providing information i.e., they may provide unreliable, erroneous, noisy, or misleadinginformation deliberately or unintentionally. Motivated by thisobservation, in this paper, we propose a statistical informationfusion approach based on behavior estimation. Our approachtransforms the conveyed information into more useful form bytempering them with the estimated behaviors of sources. Throughextensive simulations, we have shown that our approach has alower computational complexity, and achieves significantly lowbehavior estimation and fusion errors. 18th International Conference on Information Fusion , 06 Jul 2015, 09 Jul 2015,
format Report
fullrecord <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_AD1027427</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AD1027427</sourcerecordid><originalsourceid>FETCH-dtic_stinet_AD10274273</originalsourceid><addsrcrecordid>eNrjZHB2Cw12VXBydbVScCstzszPU8hPUwguTcpKTS7JLEtV8C_IzAOKFiuUZBTll6ZnKDilZiSWZeYXKbgWl2TmJpYAJXkYWNMSc4pTeaE0N4OMm2uIs4duSklmcjxQWV5qSbyji6GBkbmJkbkxAWkA4isuZQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation</title><source>DTIC Technical Reports</source><creator>Sensoy,Murat ; Kaplan,Lance ; Ayci,Gonul ; Mel,Geeth</creator><creatorcontrib>Sensoy,Murat ; Kaplan,Lance ; Ayci,Gonul ; Mel,Geeth ; Army Research Laboratory Adelphi United States</creatorcontrib><description>Information is critical in almost all decision makingprocesses. Therefore, it is important to get the right informationat the right time from the right sources. However, informationsources may behave differently while providing information i.e., they may provide unreliable, erroneous, noisy, or misleadinginformation deliberately or unintentionally. Motivated by thisobservation, in this paper, we propose a statistical informationfusion approach based on behavior estimation. Our approachtransforms the conveyed information into more useful form bytempering them with the estimated behaviors of sources. Throughextensive simulations, we have shown that our approach has alower computational complexity, and achieves significantly lowbehavior estimation and fusion errors. 18th International Conference on Information Fusion , 06 Jul 2015, 09 Jul 2015,</description><language>eng</language><creationdate>2017</creationdate><rights>Approved For Public Release</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/AD1027427$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Sensoy,Murat</creatorcontrib><creatorcontrib>Kaplan,Lance</creatorcontrib><creatorcontrib>Ayci,Gonul</creatorcontrib><creatorcontrib>Mel,Geeth</creatorcontrib><creatorcontrib>Army Research Laboratory Adelphi United States</creatorcontrib><title>FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation</title><description>Information is critical in almost all decision makingprocesses. Therefore, it is important to get the right informationat the right time from the right sources. However, informationsources may behave differently while providing information i.e., they may provide unreliable, erroneous, noisy, or misleadinginformation deliberately or unintentionally. Motivated by thisobservation, in this paper, we propose a statistical informationfusion approach based on behavior estimation. Our approachtransforms the conveyed information into more useful form bytempering them with the estimated behaviors of sources. Throughextensive simulations, we have shown that our approach has alower computational complexity, and achieves significantly lowbehavior estimation and fusion errors. 18th International Conference on Information Fusion , 06 Jul 2015, 09 Jul 2015,</description><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2017</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZHB2Cw12VXBydbVScCstzszPU8hPUwguTcpKTS7JLEtV8C_IzAOKFiuUZBTll6ZnKDilZiSWZeYXKbgWl2TmJpYAJXkYWNMSc4pTeaE0N4OMm2uIs4duSklmcjxQWV5qSbyji6GBkbmJkbkxAWkA4isuZQ</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Sensoy,Murat</creator><creator>Kaplan,Lance</creator><creator>Ayci,Gonul</creator><creator>Mel,Geeth</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>20170201</creationdate><title>FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation</title><author>Sensoy,Murat ; Kaplan,Lance ; Ayci,Gonul ; Mel,Geeth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_AD10274273</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2017</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Sensoy,Murat</creatorcontrib><creatorcontrib>Kaplan,Lance</creatorcontrib><creatorcontrib>Ayci,Gonul</creatorcontrib><creatorcontrib>Mel,Geeth</creatorcontrib><creatorcontrib>Army Research Laboratory Adelphi United States</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sensoy,Murat</au><au>Kaplan,Lance</au><au>Ayci,Gonul</au><au>Mel,Geeth</au><aucorp>Army Research Laboratory Adelphi United States</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation</btitle><date>2017-02-01</date><risdate>2017</risdate><abstract>Information is critical in almost all decision makingprocesses. Therefore, it is important to get the right informationat the right time from the right sources. However, informationsources may behave differently while providing information i.e., they may provide unreliable, erroneous, noisy, or misleadinginformation deliberately or unintentionally. Motivated by thisobservation, in this paper, we propose a statistical informationfusion approach based on behavior estimation. Our approachtransforms the conveyed information into more useful form bytempering them with the estimated behaviors of sources. Throughextensive simulations, we have shown that our approach has alower computational complexity, and achieves significantly lowbehavior estimation and fusion errors. 18th International Conference on Information Fusion , 06 Jul 2015, 09 Jul 2015,</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_dtic_stinet_AD1027427
source DTIC Technical Reports
title FUSE BEE: Fusion of Subjective Opinions through Behavior Estimation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T19%3A40%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=FUSE%20BEE:%20Fusion%20of%20Subjective%20Opinions%20through%20Behavior%20Estimation&rft.au=Sensoy,Murat&rft.aucorp=Army%20Research%20Laboratory%20Adelphi%20United%20States&rft.date=2017-02-01&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EAD1027427%3C/dtic_1RU%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true