Aprendizaje por transferencia
Sign in to saveAlso known as inductive transfer
research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem
In the Vinony graph
Vinony's link graph records 67 inbound references to Aprendizaje por transferencia, and connects out to artificial neural network, electroencephalography and Bayesian network.
It is catalogued under the topic Machine learning.
Vinony links it to 18 Wikipedia language editions.
Research
279,823 papers- Transfer learning empowers accurate pharmacokinetics prediction of small samples.Drug discovery today · 2024
- Transfer learning for motor imagery based brain-computer interfaces: A tutorial.Neural networks : the official journal of the International Neural Network Society · 2022
- Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results.Briefings in bioinformatics · 2023
- Navigating Clinical Variability: Transfer Learning's Impact on Imaging Model Performance.Radiology. Artificial intelligence · 2024
- Transfer Learning on Small Datasets for Improved Fall Detection.Sensors (Basel, Switzerland) · 2023
via PubMed
Wikidata facts
- Instance of
- paradigm
- Subclass of
- machine learning
- Part of
- machine learning
Show 1 more fact
- different from
- transfer of learning
via Wikidata · CC0
Connections
artificial neural network
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electroencephalography
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Bayesian network
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online machine learning
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multi-task learning
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International Standard Book Number
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digital object identifier
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International Standard Serial Number
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machine learning
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PubMed
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deep learning
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data mining
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bibcode
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educational psychology
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arXiv
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PubMed Central
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computer vision
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regression analysis
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crowdsourcing
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supervised learning
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