Special Issue of the ECML PKDD 2019 Journal Track

Articles (22 in this collection)

1. Improving latent variable descriptiveness by modelling rather than ad-hoc factors

   Authors (first, second and last of 4)

   • Alex Mansbridge
   • Roberto Fierimonte
   • David Barber

   • Content type: OriginalPaper
   • Open Access
   • Published: 22 July 2019

   • Pages: 1601 - 1611

   

2. Introduction to the special issue for the ECML PKDD 2019 journal track

   Authors (first, second and last of 4)

   • Karsten Borgwardt
   • Po-Ling Loh
   • Antti Ukkonen

   • Content type: EditorialNotes
   • Published: 18 July 2019

   • Pages: 1191 - 1192

3. Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference

   Authors (first, second and last of 5)

   • Zhize Li
   • Tianyi Zhang
   • Jian Li

   • Content type: OriginalPaper
   • Published: 09 July 2019

   • Pages: 1701 - 1727

   

4. The teaching size: computable teachers and learners for universal languages

   Authors

   • Jan Arne Telle
   • José Hernández-Orallo
   • Cèsar Ferri

   • Content type: OriginalPaper
   • Published: 02 July 2019

   • Pages: 1653 - 1675

   

5. Distribution-free uncertainty quantification for kernel methods by gradient perturbations

   Authors

   • Balázs Cs. Csáji
   • Krisztián B. Kis

   • Content type: OriginalPaper
   • Open Access
   • Published: 27 June 2019

   • Pages: 1677 - 1699

   

6. On the analysis of adaptability in multi-source domain adaptation

   Authors

   • Ievgen Redko
   • Amaury Habrard
   • Marc Sebban

   • Content type: OriginalPaper
   • Published: 27 June 2019

   • Pages: 1635 - 1652

   

7. CaDET: interpretable parametric conditional density estimation with decision trees and forests

   Authors

   • Cyrus Cousins
   • Matteo Riondato

   • Content type: OriginalPaper
   • Published: 26 June 2019

   • Pages: 1613 - 1634

   

8. Nuclear discrepancy for single-shot batch active learning

   Authors

   • Tom J. Viering
   • Jesse H. Krijthe
   • Marco Loog

   • Content type: OriginalPaper
   • Open Access
   • Published: 26 June 2019

   • Pages: 1561 - 1599

   

9. Efficient learning with robust gradient descent

   Authors

   • Matthew J. Holland
   • Kazushi Ikeda

   • Content type: OriginalPaper
   • Published: 25 June 2019

   • Pages: 1523 - 1560

   

10. Temporal pattern attention for multivariate time series forecasting

    Authors

    • Shun-Yao Shih
    • Fan-Keng Sun
    • Hung-yi Lee

    • Content type: OriginalPaper
    • Published: 11 June 2019

    • Pages: 1421 - 1441

    

11. A flexible probabilistic framework for large-margin mixture of experts

    Authors

    • Archit Sharma
    • Siddhartha Saxena
    • Piyush Rai

    • Content type: OriginalPaper
    • Published: 05 June 2019

    • Pages: 1369 - 1393

    

12. LSALSA: accelerated source separation via learned sparse coding

    Authors

    • Benjamin Cowen
    • Apoorva Nandini Saridena
    • Anna Choromanska

    • Content type: OriginalPaper
    • Published: 21 May 2019

    • Pages: 1307 - 1327

    

13. Compatible natural gradient policy search

    Authors (first, second and last of 5)

    • Joni Pajarinen
    • Hong Linh Thai
    • Gerhard Neumann

    • Content type: OriginalPaper
    • Open Access
    • Published: 20 May 2019

    • Pages: 1443 - 1466

    

14. Deep collective matrix factorization for augmented multi-view learning

    Authors

    • Ragunathan Mariappan
    • Vaibhav Rajan

    • Content type: OriginalPaper
    • Published: 17 May 2019

    • Pages: 1395 - 1420

    

15. Grouped Gaussian processes for solar power prediction

    Authors

    • Astrid Dahl
    • Edwin V. Bonilla

    • Content type: OriginalPaper
    • Published: 16 May 2019

    • Pages: 1287 - 1306

    

16. On PAC-Bayesian bounds for random forests

    Authors

    • Stephan S. Lorenzen
    • Christian Igel
    • Yevgeny Seldin

    • Content type: OriginalPaper
    • Published: 13 May 2019

    • Pages: 1503 - 1522

    

17. Efficient feature selection using shrinkage estimators

    Authors (first, second and last of 6)

    • Konstantinos Sechidis
    • Laura Azzimonti
    • Gavin Brown

    • Content type: OriginalPaper
    • Open Access
    • Published: 09 May 2019

    • Pages: 1261 - 1286

    

18. Data scarcity, robustness and extreme multi-label classification

    Authors

    • Rohit Babbar
    • Bernhard Schölkopf

    • Content type: OriginalPaper
    • Open Access
    • Published: 18 March 2019

    • Pages: 1329 - 1351

    

19. Joint detection of malicious domains and infected clients

    Authors (first, second and last of 5)

    • Paul Prasse
    • René Knaebel
    • Tobias Scheffer

    • Content type: OriginalPaper
    • Published: 25 February 2019

    • Pages: 1353 - 1368

    

20. TD-regularized actor-critic methods

    Authors (first, second and last of 4)

    • Simone Parisi
    • Voot Tangkaratt
    • Mohammad Emtiyaz Khan

    • Content type: OriginalPaper
    • Open Access
    • Published: 21 February 2019

    • Pages: 1467 - 1501

    

21. Dynamic principal projection for cost-sensitive online multi-label classification

    Authors

    • Hong-Min Chu
    • Kuan-Hao Huang
    • Hsuan-Tien Lin

    • Content type: OriginalPaper
    • Published: 15 January 2019

    • Pages: 1193 - 1230

    

22. Aggregating Algorithm for prediction of packs

    Authors (first, second and last of 4)

    • Dmitry Adamskiy
    • Anthony Bellotti
    • Yuri Kalnishkan

    • Content type: OriginalPaper
    • Open Access
    • Published: 07 January 2019

    • Pages: 1231 - 1260