Impact learning: A learning method from feature’s impact and competition

• Main Authors: Prottasha, Nusrat Jahan, Murad, Saydul Akbar, Muzahid, Abu Jafar Md, Rana, Masud, Kowsher, Md, Adhikary, Apurba, Biswas, Sujit, Bairagi, Anupam Kumar
• Format: Article
• Language: English; English
• Published: Elsevier B.V. 2023
• Subjects: Q Science (General); QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/38104/1/Impact%20learning_A%20learning%20method%20from%20feature%27s%20impact%20and%20competition.pdf; http://umpir.ump.edu.my/id/eprint/38104/2/Impact%20learning_A%20learning%20method%20from%20feature%E2%80%99s%20impact%20and%20competition_ABS.pdf; http://umpir.ump.edu.my/id/eprint/38104/; https://doi.org/10.1016/j.jocs.2023.102011; https://doi.org/10.1016/j.jocs.2023.102011
• Institution: Universiti Malaysia Pahang

Machine learning is the study of computer algorithms that can automatically improve based on data and experience. Machine learning algorithms build a model from sample data, called training data, to make predictions or judgments without being explicitly programmed to do so. A variety of well-known m...