Hyperparameters search methods for machine learning linear workflows
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00519370" target="_blank" >RIV/67985807:_____/19:00519370 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICMLA.2019.00199" target="_blank" >http://dx.doi.org/10.1109/ICMLA.2019.00199</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICMLA.2019.00199" target="_blank" >10.1109/ICMLA.2019.00199</a>
Alternative languages
Result language
angličtina
Original language name
Hyperparameters search methods for machine learning linear workflows
Original language description
Hyperparameters optimization is one of the most important metalearning features that is used in AutoML systems. In this paper we use hyperparameters-space search algorithms to optimize the settings of supervised machine learning methods and workflows. We focus on changes in performance of hyperparameters optimization algorithms with the growing complexity of the hyperparameters-space, when using the data preprocessings adds more parameters to the configuration and thus more dimensions to the searched space.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-23827S" target="_blank" >GA18-23827S: Capabilities and limitations of shallow and deep networks</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18th IEEE International Conference on Machine Learning and Applications ICMLA 2019. Proceedings
ISBN
978-1-7281-4550-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1205-1210
Publisher name
IEEE
Place of publication
Piscataway
Event location
Boca Raton
Event date
Dec 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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