z-logo
open-access-imgOpen Access
Smoothing parameter selection in semi-supervised learning
Author(s) -
Kyungha Seok
Publication year - 2016
Publication title -
journal of the korean data and information science society
Language(s) - Uncategorized
Resource type - Journals
ISSN - 1598-9402
DOI - 10.7465/jkdi.2016.27.4.993
Subject(s) - overfitting , smoothing , estimator , computer science , supervised learning , machine learning , rate of convergence , semi supervised learning , artificial intelligence , regression , selection (genetic algorithm) , convergence (economics) , mathematics , statistics , artificial neural network , computer network , channel (broadcasting) , economics , economic growth , computer vision

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here