Machine Learning Algorithms: A Review

By Ayon Dey. International Journal of Science and Research (IJSR), 2022

2,096 citations recorded by the source corpus.

Subfields: Health Information Management

View Paper: https://www.semanticscholar.org/paper/56e8863838b4dcc4790108cd1e7e680a104a7c30

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Citations in the corpus

Classification Based on Decision Tree Algorithm for Machine Learning (2021, background): “Each node represents features in a category to be classified and each subset defines a value that can be taken by the node [40, 41].”
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction (2022, methodology): “Among all machine learning algorithms, the KNN algorithm is one of the simplest forms and is widely used in classification tasks because it has a very adaptive and easy-to-understand design 3 .”
A Survey on Evolutionary Constrained Multiobjective Optimization (2023, background): “Hence, various CMOEAs can be combined with machine learning [201], deep learning [202], and other techniques to extract the characteristics of different problems, and then recommend the matched algorithms according to the characteristics of the CMOPs [203].”
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review (2020, methodology): “ML algorithms are used extensively in almost every sector, like speech or text recognition, industrial applications, medical diagnosis, social networking sites, and ﬁnance [25].”
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023, background): “ML is a key component of AI and involves the development of computational theories for learning processes that allow machines to learn from experience without being explicitly programmed to do so (Chowdhary, 2020; Mahesh, 2020).”