Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

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Efficient extreme classification algorithms based on reduction to structured prediction problems

2017/25/N/ST6/00747

Keywords:

machine learning extreme classification efficient machine learning algorithms

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Informatyki

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Kalina Kobus 

Number of co-investigators in the project: 2

Call: PRELUDIUM 13 - announced on 2017-03-15

Amount awarded: 36 746 PLN

Project start date (Y-m-d): 2018-02-21

Project end date (Y-m-d): 2019-02-20

Project duration:: 12 months (the same as in the proposal)

Project status: Project settled

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (1)
  • Articles in post-conference publications (1)
  1. Probabilistic Label Trees for Extreme Multi-Label Classification
    Authors:
    Kalina Kobus, Marek Wydmuch, Krzysztof Dembczyński, Mikhail Kuznetsov, Robert Busa-Fekete
    Academic press:
    Journal of Machine Learning Research , Wydawca: jmlr.org
    Status:
    Submitted
  1. A no-regret generalization of hierarchical softmax to extreme multi-label classification
    Authors:
    Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Robert Busa-Fekete, Krzysztof Dembczyński
    Conference:
    Neural Information Processing Systems (rok: 2018, ), Wydawca: Curran Associates, Inc.
    Data:
    konferencja 2-8.12.2018
    Status:
    Published