Automated Machine Learning : Methods, Systems, Challenges
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial...
Saved in:
Other Authors: | Hutter, Frank (Editor), Kotthoff, Lars (Editor), Vanschoren, Joaquin (Editor) |
---|---|
Format: | Book Chapter |
Published: |
Cham
Springer Nature
2019
|
Subjects: | |
Online Access: | Get Fullteks DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial Intelligence for Medical Image Analysis of NeuroImaging Data
Published: (2020) -
Graphs for Pattern Recognition : Infeasible Systems of Linear Inequalities
by: Gainanov, Damir
Published: (2016) -
Frontiers in Robotics, Automation and Control
Published: (2008) -
Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks
Published: (2022) -
Speech Technologies
Published: (2011)