Reminder of the First Paper on Transfer Learning in Neural Networks, 1976
Autor: | Stevo Bozinovski |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Artificial neural network business.industry Computer science Interpretation (philosophy) 02 engineering and technology Computer Science Applications Theoretical Computer Science 020901 industrial engineering & automation Artificial Intelligence Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Transfer of learning Software |
Zdroj: | Informatica. 44 |
ISSN: | 1854-3871 0350-5596 |
DOI: | 10.31449/inf.v44i3.2828 |
Popis: | This paper describes a work on transfer learning in neural networks carried out in 1970s and early 1980s, which produced its first publication in 1976. In the contemporary research on transfer learning there is a belief that pioneering work on transfer learning took place in early 1990s, and this paper updates that knowledge, pointing out that the transfer learning research started more than a decade earlier. This paper reviews that 1970s research and addresses important issues relevant for the current transfer learning research. It gives a mathematical model and geometric interpretation of transfer learning, and a measure of transfer learning indicating positive, negative, and no transfer learning. It presents experimental investigation in the mentioned types of transfer learning. And it gives an application of transfer learning in pattern recognition using datasets of images. |
Databáze: | OpenAIRE |
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