The evidence-theoretic k-NN rule for rank-ordered data: Application to predict an individual’s source of loan
© Springer International Publishing Switzerland 2014. We adapted the nonparametric evidence-theoretic k-Nearest Neighbor (k-NN) rule,whichwas originally designed formultinomial choice data, to rank-ordered choice data.The contribution of thismodel is its ability to extract information from all the o...
Saved in:
Main Authors: | Supanika Leurcharusmee, Peerapat Jatukannyaprateep, Songsak Sriboonchitta, Thierry Denoeux |
---|---|
Format: | Book Series |
Published: |
2018
|
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84921510354&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45670 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
The evidence-theoretic k-NN rule for rank-ordered data: Application to predict an individual’s source of loan
by: Supanika Leurcharusmee, et al.
Published: (2018) -
Wage determination and compensating wage differentials in the informal sector: A quantile regression with multi-level sample selection
by: Pisit Leeahtam, et al.
Published: (2018) -
Wage determination and compensating wage differentials in the informal sector: A quantile regression with multi-level sample selection
by: Pisit Leeahtam, et al.
Published: (2018) -
EK-NNclus: A clustering procedure based on the evidential K-nearest neighbor rule
by: Thierry Denœux, et al.
Published: (2018) -
EK-NNclus: A clustering procedure based on the evidential K-nearest neighbor rule
by: Thierry Denœux, et al.
Published: (2018)