Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning

Saved in:
Bibliographic Details
Published in:Romanian Statistical Review
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030191005728771
collection WordPress RSS
FRELIP Feed Integration
container_title Romanian Statistical Review
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16255
institution FRELIP
journal_source_facet Romanian Statistical Review
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_auth Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_full Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_fullStr Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_full_unstemmed Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_short Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_sort optimizing support vector machine’ kernel functions for predicting financial distress in african and asian countries: comparative analysis and hyperparameter tuning
topic Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://www.revistadestatistica.ro/2026/02/optimizing-support-vector-machine-kernel-functions-for-predicting-financial-distress-in-african-and-asian-countries-comparative-analysis-and-hyperparameter-tuning/