Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Brskanje
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
Matrix tri-factorization over the tropical semiring
ID
Omanović, Amra
(
Avtor
),
ID
Oblak, Polona
(
Avtor
),
ID
Curk, Tomaž
(
Avtor
)
URL - Izvorni URL, za dostop obiščite
https://ieeexplore.ieee.org/document/10156842
PDF - Predstavitvena datoteka,
prenos
(2,60 MB)
MD5: D423C3D7FE9F24425312E91AE12A0651
Galerija slik
Izvleček
Tropical semiring has proven successful in several research areas, including optimal control, bioinformatics, discrete event systems, and decision problems. Previous studies have applied a matrix two-factorization algorithm based on the tropical semiring to investigate bipartite and tripartite networks. Tri-factorization algorithms based on standard linear algebra are used to solve tasks such as data fusion, co-clustering, matrix completion, community detection, and more. However, there is currently no tropical matrix tri-factorization approach that would allow for the analysis of multipartite networks with many parts. To address this, we propose the triFastSTMF algorithm, which performs tri-factorization over the tropical semiring. We applied it to analyze a four-partition network structure and recover the edge lengths of the network. We show that triFastSTMF performs similarly to Fast-NMTF in terms of approximation and prediction performance when fitted on the whole network. When trained on a specific subnetwork and used to predict the entire network, triFastSTMF outperforms Fast-NMTF by several orders of magnitude smaller error. The robustness of triFastSTMF is due to tropical operations, which are less prone to predict large values compared to standard operations.
Jezik:
Angleški jezik
Ključne besede:
tropical semiring
,
tri-factorization
,
network structure analysis
,
four-partition network
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FRI - Fakulteta za računalništvo in informatiko
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Datum objave:
01.01.2023
Leto izida:
2023
Št. strani:
Str. 69022-69032
Številčenje:
Vol. 11
PID:
20.500.12556/RUL-148483
UDK:
004:51
ISSN pri članku:
2169-3536
DOI:
10.1109/ACCESS.2023.3287833
COBISS.SI-ID:
162079235
Datum objave v RUL:
24.08.2023
Število ogledov:
538
Število prenosov:
54
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
Gradivo je del revije
Naslov:
IEEE access
Založnik:
Institute of Electrical and Electronics Engineers
ISSN:
2169-3536
COBISS.SI-ID:
519839513
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
tropski polkolobar
,
trifaktorizacija
,
analiza strukture omrežja
,
štiriparticijsko omrežje
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P1-0222
Naslov:
Algebra, teorija operatorjev in finančna matematika
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0209
Naslov:
Umetna inteligenca in inteligentni sistemi
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj