Enhanced kernel regression with prior knowledge in solving small sample problems
In many real-world problems only very few samples are available and sometimes non-informative to help in performing a regression task. Incorporating a prior knowledge to this type of problem might offer a promising solution. In this study, the proposed algorithm translated a given prior knowledge an...
Saved in:
Main Authors: | Shapiai, Mohd. Ibrahim, Sudin, Shahdan, Ibrahim, Zuwairie, Khalid, Marzuki |
---|---|
Format: | Conference or Workshop Item |
Published: |
2011
|
Online Access: | http://eprints.utm.my/id/eprint/45823/ http://dx.doi.org/10.1109/CIMSim.2011.26 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced weighted kernel regression with prior knowledge in solving small sample problems
by: Shaipai, Mohd. Ibrahim, et al.
Published: (2011) -
Investigation on different learning techniques for weighted kernel regression in solving small sample problem with noise
by: Shapiai, Mohd. Ibrahim, et al.
Published: (2015) -
Enhanced weighted kernel regression with prior knowledge using robot manipulator problem as a case study
by: Mohd Ibrahim, Shapiai, et al.
Published: (2012) -
Weighted kernel regression in solving small sample problems for regression framework and its variants
by: Shapiai @ Abd. Razak, Mohd. Ibrahim
Published: (2014) -
Recipe generation from small samples by weighted kernel regression
by: Shapiai, Mohd. Ibrahim, et al.
Published: (2011)