Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model...
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection
About this item
Full title
Author / Creator
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
More information
Scope and Contents
Contents
Purpose
Machine learning is broadly used for clinical data analysis. Before training a model, a machine learning algorithm must be selected. Also, the values of one or more model parameters termed hyper-parameters must be set. Selecting algorithms and hyper-parameter values requires advanced machine learning knowledge and many labor-intensive ma...
Alternative Titles
Full title
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5617811
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5617811
Other Identifiers
ISSN
2047-2501
E-ISSN
2047-2501
DOI
10.1007/s13755-017-0023-z
