1. Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017

   • Kurt Driessens
   • Dragi Kocev
   • Myra Spiliopoulou

   EditorialNotes 23 August 2017 Pages: 1243 - 1244

2. Learning deep kernels in the space of dot product polynomials

   • Michele Donini
   • Fabio Aiolli

   OriginalPaper 07 November 2016 Pages: 1245 - 1269

   

3. Gaussian conditional random fields extended for directed graphs

   • Tijana Vujicic
   • Jesse Glass
   • Zoran Obradovic

   OriginalPaper 31 March 2017 Pages: 1271 - 1288

   

4. Efficient parameter learning of Bayesian network classifiers

   • Nayyar A. Zaidi
   • Geoffrey I. Webb
   • Hans De Sterck

   OriginalPaper 26 January 2017 Pages: 1289 - 1329

   

5. Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies

   • Lavanya Sita Tekumalla
   • Vaibhav Rajan
   • Chiranjib Bhattacharyya

   OriginalPaper 26 January 2017 Pages: 1331 - 1357

   

6. Graph-based predictable feature analysis

   • Björn Weghenkel
   • Asja Fischer
   • Laurenz Wiskott

   OriginalPaper 09 May 2017 Pages: 1359 - 1380

   

7. A constrained \(\ell \)1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models

   • Beilun Wang
   • Ritambhara Singh
   • Yanjun Qi

   OriginalPaper Open access 21 June 2017 Pages: 1381 - 1417

   

8. Varying-coefficient models for geospatial transfer learning

   • Matthias Bussas
   • Christoph Sawade
   • Niels Landwehr

   OriginalPaper 25 April 2017 Pages: 1419 - 1440

   

9. Learning constraints in spreadsheets and tabular data

   • Samuel Kolb
   • Sergey Paramonov
   • Luc De Raedt

   OriginalPaper 05 June 2017 Pages: 1441 - 1468

   

10. Adaptive random forests for evolving data stream classification

    • Heitor M. Gomes
    • Albert Bifet
    • Talel Abdessalem

    OriginalPaper 13 June 2017 Pages: 1469 - 1495

    

11. Constraint-based clustering selection

    • Toon Van Craenendonck
    • Hendrik Blockeel

    OriginalPaper 05 June 2017 Pages: 1497 - 1521

    

12. An expressive dissimilarity measure for relational clustering using neighbourhood trees

    • Sebastijan Dumančić
    • Hendrik Blockeel

    OriginalPaper 05 June 2017 Pages: 1523 - 1545

    

13. Weightless neural networks for open set recognition

    • Douglas O. Cardoso
    • João Gama
    • Felipe M. G. França

    OriginalPaper 12 July 2017 Pages: 1547 - 1567

    

14. Offline reinforcement learning with task hierarchies

    • Devin Schwab
    • Soumya Ray

    OriginalPaper 12 July 2017 Pages: 1569 - 1598

    

15. Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction

    • Pedram Daee
    • Tomi Peltola
    • Samuel Kaski

    OriginalPaper Open access 12 July 2017 Pages: 1599 - 1620

    

16. Sparse probit linear mixed model

    • Stephan Mandt
    • Florian Wenzel
    • Marius Kloft

    OriginalPaper 13 July 2017 Pages: 1621 - 1642

    

17. Robust regression using biased objectives

    • Matthew J. Holland
    • Kazushi Ikeda

    OriginalPaper 11 July 2017 Pages: 1643 - 1679

    

18. Preserving differential privacy in convolutional deep belief networks

    • NhatHai Phan
    • Xintao Wu
    • Dejing Dou

    OriginalPaper 13 July 2017 Pages: 1681 - 1704

    

19. Generalized exploration in policy search

    • Herke van Hoof
    • Daniel Tanneberg
    • Jan Peters

    OriginalPaper 13 July 2017 Pages: 1705 - 1724

    

20. Cost-sensitive label embedding for multi-label classification

    • Kuan-Hao Huang
    • Hsuan-Tien Lin

    OriginalPaper 02 August 2017 Pages: 1725 - 1746

    

21. Group online adaptive learning

    • Alon Zweig
    • Gal Chechik

    OriginalPaper 01 August 2017 Pages: 1747 - 1770