ML-plan: automated machine learning via hierarchical planning

DOI10.1007/S10994-018-5735-ZzbMath1473.68157OpenAlexW2809880372MaRDI QIDQ1631803

Marcel Wever, Felix Mohr, Eyke Hüllermeier

Publication date: 7 December 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-018-5735-z

zbMATH Keywords

heuristic searchalgorithm configurationalgorithm selectionautomated planningautomated machine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (6)

ML-plan ⋮ Naive automated machine learning ⋮ AutonoML: Towards an Integrated Framework for Autonomous Machine Learning ⋮ autoBOT: evolving neuro-symbolic representations for explainable low resource text classification ⋮ Automated adaptation strategies for stream learning ⋮ Benchmark and Survey of Automated Machine Learning Frameworks

Uses Software

• OpenML
• SHOP2
• TPOT
• Hyperopt
• Auto-WEKA
• SMAC
• auto-sklearn

Cites Work

• Unnamed Item
• Unnamed Item

This page was built for publication: ML-plan: automated machine learning via hierarchical planning