1. Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track

   • Concha Bielza
   • João Gama
   • Indrė Žliobaitė

   Editorial 21 July 2015 Pages: 157 - 159

   

2. Direct conditional probability density estimation with sparse feature selection

   • Motoki Shiga
   • Voot Tangkaratt
   • Masashi Sugiyama

   OriginalPaper 15 January 2015 Pages: 161 - 182

   

3. Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge

   • Theja Tulabandhula
   • Cynthia Rudin

   OriginalPaper 17 December 2014 Pages: 183 - 216

   

4. Learning relational dependency networks in hybrid domains

   • Irma Ravkic
   • Jan Ramon
   • Jesse Davis

   OriginalPaper 05 May 2015 Pages: 217 - 254

   

5. Policy gradient in Lipschitz Markov Decision Processes

   • Matteo Pirotta
   • Marcello Restelli
   • Luca Bascetta

   OriginalPaper 03 March 2015 Pages: 255 - 283

   

6. A Bayesian approach for comparing cross-validated algorithms on multiple data sets

   • Giorgio Corani
   • Alessio Benavoli

   OriginalPaper 24 March 2015 Pages: 285 - 304

   

7. Soft-max boosting

   • Matthieu Geist

   OriginalPaper 21 March 2015 Pages: 305 - 332

   

8. Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions

   • Parthan Kasarapu
   • Lloyd Allison

   OriginalPaper 28 March 2015 Pages: 333 - 378

   

9. Consensus hashing

   • Cong Leng
   • Jian Cheng

   OriginalPaper 05 May 2015 Pages: 379 - 398

   

10. Generalized Twin Gaussian processes using Sharma–Mittal divergence

    • Mohamed Elhoseiny
    • Ahmed Elgammal

    OriginalPaper 23 June 2015 Pages: 399 - 424

    

11. Improving classification performance through selective instance completion

    • Amit Dhurandhar
    • Karthik Sankaranarayanan

    OriginalPaper 14 July 2015 Pages: 425 - 447

    

12. Optimised probabilistic active learning (OPAL)

    • Georg Krempl
    • Daniel Kottke
    • Vincent Lemaire

    OriginalPaper 20 June 2015 Pages: 449 - 476

    

13. Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    • Fabian Hadiji
    • Alejandro Molina
    • Kristian Kersting

    OriginalPaper 11 July 2015 Pages: 477 - 507

    

14. A decomposition of the outlier detection problem into a set of supervised learning problems

    • Heiko Paulheim
    • Robert Meusel

    OriginalPaper 20 June 2015 Pages: 509 - 531

    

15. Convex relaxations of penalties for sparse correlated variables with bounded total variation

    • Eugene Belilovsky
    • Andreas Argyriou
    • Matthew Blaschko

    OriginalPaper 23 June 2015 Pages: 533 - 553

    

16. Incremental learning of event definitions with Inductive Logic Programming

    • Nikos Katzouris
    • Alexander Artikis
    • Georgios Paliouras

    OriginalPaper 20 June 2015 Pages: 555 - 585

    

17. Generalized gradient learning on time series

    • Brijnesh J. Jain

    OriginalPaper 16 July 2015 Pages: 587 - 608

    

18. Learning from evolving video streams in a multi-camera scenario

    • Samaneh Khoshrou
    • Jaime S. Cardoso
    • Luís F. Teixeira

    OriginalPaper 15 July 2015 Pages: 609 - 633

    

19. Probabilistic clustering of time-evolving distance data

    • Julia E. Vogt
    • Marius Kloft
    • Gunnar Rätsch

    OriginalPaper 17 July 2015 Pages: 635 - 654

    

20. Regularized feature selection in reinforcement learning

    • Dean S. Wookey
    • George D. Konidaris

    OriginalPaper 14 July 2015 Pages: 655 - 676

    

21. Half-space mass: a maximally robust and efficient data depth method

    • Bo Chen
    • Kai Ming Ting
    • Gholamreza Haffari

    OriginalPaper 05 August 2015 Pages: 677 - 699