A Literature Survey and Empirical Study of Meta-Learning for Classifier Selection
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DOI: 10.1109/access.2020.2964726
Abstract: Classification is the key and most widely studied paradigm in machine learning community. The selection of appropriate classification algorithm for a particular problem is a challenging task, formally known as algorithm selection problem (ASP) in… read more here.
Keywords: literature; meta learning; classifier selection; classification ... See more keywords
A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia
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DOI: 10.3390/ijerph19031133
Abstract: The classifier selection problem in Assistive Technology Adoption refers to selecting the classification algorithms that have the best performance in predicting the adoption of technology, and is often addressed through measuring different single performance indicators.… read more here.
Keywords: technology; classifier selection; selection problem; adoption ... See more keywords