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Learning in Non-Stationary Environments
Tallenna

Learning in Non-Stationary Environments

Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems.
Alaotsikko
Methods and Applications
Painos
2012 ed.
ISBN
9781489993403
Kieli
englanti
Paino
310 grammaa
Julkaisupäivä
8.5.2014
Sivumäärä
440