Metalearning : Applications to Automated Machine Learning and Data Mining

Metalearning : Applications to Automated Machine Learning and Data Mining

This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on oth...

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Bibliographic Details
Main Author: Brazdil, Pavel (auth)
Other Authors: van Rijn, Jan N. (auth), Soares, Carlos (auth), Vanschoren, Joaquin (auth)
Format: Book Chapter
Published: Cham Springer Nature 2022
Subjects:
Artificial intelligence
Data mining
Machine learning
Metalearning
Automating Machine Learning (AutoML)
Machine Learning
Artificial Intelligence
algorithm selection
algorithm recommendation
algorithm configuration
hyperparameter optimization
automating the workflow/pipeline design
metalearning in ensemble construction
metalearning in deep neural networks
transfer learning
algorithm recommendation for data streams
automating data science
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