Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier
Medical data classification is a prime data mining problem being discussed about for a decade that has attracted several researchers around the world. Most classifiers are designed so as to learn from the data itself using a training process, because complete expert knowledge to determine classifier...
Saved in:
| Main Authors: | C. V. Subbulakshmi, S. N. Deepa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/418060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification algorithm of loin swarm optimization kernel extreme learning machine
by: Liu Xinjian, et al.
Published: (2022-02-01) -
Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization
by: Fagui Liu, et al.
Published: (2017-06-01) -
Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization.
by: Honghua Liu, et al.
Published: (2025-01-01) -
Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements
by: Cheng Chen, et al.
Published: (2025-08-01) -
Performance of Machine Learning Classifiers for Diabetes Prediction
by: Mijala Manandhar, et al.
Published: (2024-08-01)