Algorithms for Scalable On-line Machine Learning on Regression Tasks

Algorithms for Scalable On-line Machine Learning on Regression Tasks

In the realm of ever increasing data volume and traffic the processing of data as a stream is key in order to build flexible and scalable data processing engines. On-line machine learning provides powerful algorithms for extracting predictive models from such data streams even if the modeled relatio...

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Bibliographic Details
Main Author: Schoenke, Jan H.
Other Authors: Prof. Dr. Joachim Hertzberg
Format: Doctoral Thesis
Language:English
Published: 2019
Subjects:
On-line Regression
Smooth Interpolation
Simplicial Segmentation
On-line Machine Learning
54.72 - Künstliche Intelligenz
I.2.6 - Learning
ddc:004
Online Access:https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201904251500

Internet

https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201904251500

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