You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Juhumetsa mudelite loomine tasakaalustamata andmetega
Juhumetsa mudelite loomine tasakaalustamata andmetega
Antud bakalaureusetöö eesmärk on tutvustada erinevaid meetodeid, mida kasutatakse juhumetsa mudelite loomiseks tasakaalustamata andmetel. Töö esimeses pooles tutvustatakse klassifitseeriva juhumetsa olemust ning tasakaalustamata andmetel mudelite loomise probleemi. Töö teises osas pakutakse välja ja võrreldakse erinevaid meetodeid, mida saab kasutada tasakaalustamata andmete probleemi lahendamiseks.
- University of Tartu Estonia
klassifitseerimine, classification, tasakaalustamata andmed, imbalanced data, juhumets, MIMIC-III, random forest
klassifitseerimine, classification, tasakaalustamata andmed, imbalanced data, juhumets, MIMIC-III, random forest
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- University of Tartu Estonia
Antud bakalaureusetöö eesmärk on tutvustada erinevaid meetodeid, mida kasutatakse juhumetsa mudelite loomiseks tasakaalustamata andmetel. Töö esimeses pooles tutvustatakse klassifitseeriva juhumetsa olemust ning tasakaalustamata andmetel mudelite loomise probleemi. Töö teises osas pakutakse välja ja võrreldakse erinevaid meetodeid, mida saab kasutada tasakaalustamata andmete probleemi lahendamiseks.