Search Result "nearest neighbour algorithm"
Analysis of Machine Learning Algorithms in Healthcare
Ebook: Intelligent Technologies for Automated Electronic Systems
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179514124010018
A Novel Feature-Significance Based k-Nearest Neighbour Classification Approach for Computer Aided Diagnosis of Lung Disorders
Journal: Current Medical Imaging
Volume: 14 Issue: 2 Year: 2018 Page: 289-300
Author(s): C. Sunil Retmin Raj,H. Khanna Nehemiah,D. Shiloah Elizabeth,A. Kannan
Prediction using Machine Learning
Ebook: Handbook of Artificial Intelligence
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124514123010005
A Nearest Neighbor Algorithm Based Predictor for the Prediction of Enzyme - Small Molecule Interaction
Journal: Protein & Peptide Letters
Volume: 19 Issue: 1 Year: 2012 Page: 91-98
Author(s): Le-Le Hu, Zhi-Song He, Xiao-He Shi, Xiang-Ying Kong, Hai-Peng Li, Wen-Cong Lu
Supervised Learning
Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010009
Blockchain Associated Machine Learning Approach for Earlier Prognosis and Preclusion of Osteoporosis in Elderly
Ebook: Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare
Volume: 7 Year: 2024
Author(s):
Doi: 10.2174/9789815165432124070003
Machine Learning Based Crop Recommendation System
Ebook: Artificial Intelligence and Knowledge Processing: Methods and Applications
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815165739123010014
Prognosis of Dementia using Machine Learning
Ebook: Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179125124010010
A Machine Learning Application to Predict Customer Churn: A Case in Indonesian Telecommunication Company
Ebook: Advanced Mathematical Applications in Data Science
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124842123010013
A New Perspective to Evaluate Machine Learning Algorithms for Predicting Employee Performance
Ebook: Intelligent Technologies for Automated Electronic Systems
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179514124010013