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Novel active learning querying strategy for the machine learning models

2013/09/N/ST6/03015

Keywords:

machine learning monte carlo planning active learning artificial intelligence data uncertainty

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems

Panel:

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

Host institution :

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Wojciech Czarnecki 

Number of co-investigators in the project: 3

Call: PRELUDIUM 5 - announced on 2013-03-15

Amount awarded: 86 450 PLN

Project start date (Y-m-d): 2014-04-01

Project end date (Y-m-d): 2015-12-31

Project duration:: 21 months (the same as in the proposal)

Project status: Project settled

Information in the final report

  • Publication in academic press/journals (3)
  • Articles in post-conference publications (5)
  1. Exploiting uncertainty measures in compounds activity prediction using support vector machines
    Authors:
    Smusz S, Czarnecki WM, Warszycki D, Bojarski AJ.
    Academic press:
    Bioorganic & Medicinal Chemistry Letters, (rok: 2015, tom: 1, strony: 100-105), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.bmcl.2014.11.005 - link to the publication
  2. Two ellipsoid Support Vector Machines
    Authors:
    Wojciech Marian Czarnecki, Jacek Tabor
    Academic press:
    Expert Systems with Applications (rok: 2014, tom: 41, strony: 8211-8224), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2014.07.015 - link to the publication
  3. Multithreshold entropy linear classifier: Theory and applications
    Authors:
    Czarnecki, Wojciech Marian and Tabor, Jacek
    Academic press:
    Expert Systems with Applications (rok: 2015, tom: 42, strony: 5591-5606), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2015.03.007 - link to the publication
  1. Active Learning of Compounds Activity - Towards Scientifically Sound Simulation of Drug Candidates Identification
    Authors:
    WM Czarnecki, S Jastrzębski, I Sieradzki, S Podlewska
    Conference:
    European Conference on Machine Learning and Principles of Knowledge Discovery in Databases - 2nd Workshop on Machine Learning in Life Sciences (rok: 2015, ), Wydawca: ENGINE Center, Wroclaw University of Technology
    Data:
    konferencja 7-11 września 2015
    Status:
    Published
    DOI:
    link to the publication
  2. Analysis of compounds activity concept learned by SVM using robust Jaccard based low-dimensional embedding
    Authors:
    S Jastrzębski, WM Czarnecki
    Conference:
    Theoretical Foundations of Machine Learning (rok: 2015, ), Wydawca: Schedae Informaticae, Jagiellonian University
    Data:
    konferencja 16-21 lutego 2015
    Status:
    Published
  3. Online Extreme Entropy Machines for Streams Classification and Active Learning
    Authors:
    WM Czarnecki, J Tabor
    Conference:
    9th International Conference on Computer Recognition Systems CORES 2015 (rok: 2016, ), Wydawca: Springer International Publishing
    Data:
    konferencja 25-27 maja 2015
    Status:
    Published
  4. Adaptive Active Learning with Ensemble of Learners and Multiclass Problems
    Authors:
    Czarnecki, Wojciech Marian
    Conference:
    14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015 (rok: 2015, ), Wydawca: Springer International Publishing
    Data:
    konferencja 14-18 czerwca 2015
    Status:
    Published
    DOI:
    link to the publication
  5. Adaptive Active Learning as a Multi-armed Bandit Problem
    Authors:
    Wojciech Marian Czarnecki, Igor Podolak
    Conference:
    ECAI 2014 (rok: 2014, ), Wydawca: IOS Press
    Data:
    konferencja 18-22 Sierpnia 2014
    Status:
    Published
    DOI:
    link to the publication

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