All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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