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 |
|
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 |
|