Decision trees, random vector functional link neural network and their ensembles
Decision Tree (DT) and Neural Network (NN) are two popular machine learning algorithms. A decision tree consists of internal nodes and leaf nodes. Each internal node is associated with a test function while each leaf node represents a class label or contains probability distribution. A decision tree...
Saved in:
Main Author: | Katuwal, Rakesh Kumar |
---|---|
Other Authors: | Ponnuthurai N. Suganthan |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136779 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
An ensemble of decision trees with random vector functional link networks for multi-class classification
by: Katuwal, Rakesh, et al.
Published: (2020) -
Ensemble deep random vector functional link neural network for regression
by: Hu, Minghui, et al.
Published: (2023) -
Random vector functional link neural network based ensemble deep learning
by: Shi, Qiushi, et al.
Published: (2022) -
Neural networks based pattern classification system for information extraction on disaster news
by: Li, Qi
Published: (2022) -
Ensemble deep random vector functional link neural net for imbalanced datasets
by: Soo, Jian Xian
Published: (2022)