Random forests, a novel approach for discrimination of fish populations using parasites as biological tags.
about
A random forest approach for predicting the presence of Echinococcus multilocularis intermediate host Ochotona spp. presence in relation to landscape characteristics in western ChinaValidation of psoriatic arthritis diagnoses in electronic medical records using natural language processing.An attempt to use ectoparasites as tags for habitat occupancy by small mammalian hosts in central Europe: effects of host gender, parasite taxon and season.Selecting statistical models and variable combinations for optimal classification using otolith microchemistry.Discrimination of fish populations using parasites: Random Forests on a 'predictable' host-parasite system.Random forests classification analysis for the assessment of diagnostic skill.Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
P2860
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P2860
Random forests, a novel approach for discrimination of fish populations using parasites as biological tags.
description
2008 nî lūn-bûn
@nan
2008 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Random forests, a novel approa ...... parasites as biological tags.
@ast
Random forests, a novel approa ...... parasites as biological tags.
@en
type
label
Random forests, a novel approa ...... parasites as biological tags.
@ast
Random forests, a novel approa ...... parasites as biological tags.
@en
prefLabel
Random forests, a novel approa ...... parasites as biological tags.
@ast
Random forests, a novel approa ...... parasites as biological tags.
@en
P2093
P1476
Random forests, a novel approa ...... parasites as biological tags.
@en
P2093
Aneta Kostadinova
Diana Perdiguero-Alonso
John Barrett
P304
P356
10.1016/J.IJPARA.2008.04.007
P577
2008-05-11T00:00:00Z