SBNNR: Small-Size Bat-Optimized KNN Regression
Small datasets are frequent in some scientific fields. Such datasets are usually created due to the difficulty or cost of producing laboratory and experimental data. On the other hand, researchers are interested in using machine learning methods to analyze this scale of data. For this reason, in som...
Saved in:
| Main Authors: | Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin, Jovana Kuljanin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/16/11/422 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Simultaneous Instance and Attribute Selection for Noise Filtering
by: Yenny Villuendas-Rey, et al.
Published: (2024-09-01) -
Sentiment Analysis of Indonesian Responses to the Conflict in Palestine Using KNN and SVM Methods
by: Rizky Fauzi, et al.
Published: (2024-11-01) -
Sistem Deteksi Cuaca Berdasarkan Analisis Histogram HCL Menggunakan Algoritma k-Nearest Neighbor ( KNN )
by: Siti Hariani
Published: (2020-04-01) -
A Multi-Objective Bio-Inspired Optimization for Voice Disorders Detection: A Comparative Study
by: Maria Habib, et al.
Published: (2025-06-01) -
Perbandingan Kinerja Algoritma KNN dan SVM Menggunakan SMOTE untuk Klasifikasi Penyakit Diabetes
by: Asri Mulyani, et al.
Published: (2025-02-01)