A comparative analysis of machine learning algorithms for image classification : evaluating performance
Year of publication: |
2024
|
---|---|
Authors: | Kapse, Manohar ; Elangovan, N. ; Lalkiya, M. ; Deshpande, Amruta |
Published in: |
Data-Driven Decision Making. - Singapore : Springer Nature Singapore, ISBN 9789819729029. - 2024, p. 59-75
|
Subject: | AdaBoost | Artificial Neural Networks (ANN) | Decision tree | Image classification | k-Nearest Neighbour (kNN) | Logistic regression | Machine learning | Naïve Bayes | Random forest | Support Vector Machine (SVM) | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Mustererkennung | Pattern recognition | Klassifikation | Classification | Algorithmus | Algorithm |
-
Classifying businesses by economic activity using web-based text mining
Roelands, Maarten, (2017)
-
An ensemble-based machine learning model for emotion and mental health detection
Jonnalagadda, Annapurna, (2023)
-
Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav, (2023)
- More ...
-
A comparative study of pollution levels in major cities of India during covid-19 in India
Kapse, Manohar, (2023)
-
Using analytics to measure the impact of pollution parameters in major cities of India
Kapse, Manohar, (2023)
-
Newcomer retention – an investigation on Indian IT industry
Deshpande, Amruta, (2019)
- More ...