bibtype C - Conference Paper (international conference)
ARLID 0468130
utime 20240111140930.9
mtime 20170103235959.9
SCOPUS 84979500860
WOS 000390205300022
DOI 10.1109/SCSP.2016.7501032
title (primary) (eng) Logistic Regression with Expert Intervention
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0468907
ISBN 978-1-5090-1116-2
title SCSP 2016. Smart Cities Symposium Prague
page_num 1-5
publisher
place Piscataway
name IEEE
year 2016
keyword logistic regression
keyword Newton method
keyword traffic accidents
author (primary)
ARLID cav_un_auth*0205791
name1 Pecherková
name2 Pavla
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Signal Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101167
name1 Nagy
name2 Ivan
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
institution UTIA-B
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2016/AS/pecherkova-0468130.pdf
cas_special
project
ARLID cav_un_auth*0321440
project_id GA15-03564S
agency GA ČR
abstract (eng) This paper deals with problem of analysis of traffic data. A traffic network has several types of roads: historical centre, peripherals, arterial roads, etc. They have specific properties. For a traffic analysis, large amounts of data are needed. Some traffic data are difficult to obtain due to their rare\noccurrence. Typical example is the investigation of traffic accidents. In these cases, data from other similar roads can be used. In such cases, an expert intervention added to the general analysis is very important. In this paper, the logistic regression with two types of expert intervention is briefly introduced. The performance of these methods is demonstrated on examples concerning seriousness of traffic accidents.
action
ARLID cav_un_auth*0340181
name SCSP 2016. Smart Cities Symposium
dates 20160526
mrcbC20-s 20160527
place Prague
country CZ
RIV BB
reportyear 2017
num_of_auth 2
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0266864
confidential S
mrcbC86 n.a. Proceedings Paper Engineering Multidisciplinary|Engineering Electrical Electronic
arlyear 2016
mrcbU14 84979500860 SCOPUS
mrcbU24 PUBMED
mrcbU34 000390205300022 WOS
mrcbU56 pdf
mrcbU63 cav_un_epca*0468907 SCSP 2016. Smart Cities Symposium Prague 978-1-5090-1116-2 1 5 Piscataway IEEE 2016
mrcbU67 Koukol M. 340