Volume 100, Issue 2-3, September 2015

Special Issue of the ECMLPKDD 2015 Journal Track; Guest Editors: Concha Bielza • João Gama • Alípio Jorge • Indrė Žliobaitė

ISSN: 0885-6125 (Print) 1573-0565 (Online)

In this issue (21 articles)

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  1. Editorial

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

    Concha Bielza, João Gama, Alípio Jorge, Indrė Žliobaitė Pages 157-159
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  2. OriginalPaper

    Direct conditional probability density estimation with sparse feature selection

    Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama Pages 161-182
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  3. OriginalPaper

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

    Theja Tulabandhula, Cynthia Rudin Pages 183-216
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  4. OriginalPaper

    Learning relational dependency networks in hybrid domains

    Irma Ravkic, Jan Ramon, Jesse Davis Pages 217-254
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  5. OriginalPaper

    Policy gradient in Lipschitz Markov Decision Processes

    Matteo Pirotta, Marcello Restelli, Luca Bascetta Pages 255-283
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  6. OriginalPaper

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

    Giorgio Corani, Alessio Benavoli Pages 285-304
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  7. OriginalPaper

    Soft-max boosting

    Matthieu Geist Pages 305-332
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  8. OriginalPaper

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

    Parthan Kasarapu, Lloyd Allison Pages 333-378
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  9. OriginalPaper

    Consensus hashing

    Cong Leng, Jian Cheng Pages 379-398
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  10. OriginalPaper

    Generalized Twin Gaussian processes using Sharma–Mittal divergence

    Mohamed Elhoseiny, Ahmed Elgammal Pages 399-424
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  11. OriginalPaper

    Improving classification performance through selective instance completion

    Amit Dhurandhar, Karthik Sankaranarayanan Pages 425-447
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  12. OriginalPaper

    Optimised probabilistic active learning (OPAL)

    Georg Krempl, Daniel Kottke, Vincent Lemaire Pages 449-476
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  13. OriginalPaper

    Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    Fabian Hadiji, Alejandro Molina, Sriraam Natarajan, Kristian Kersting Pages 477-507
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  14. OriginalPaper

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

    Heiko Paulheim, Robert Meusel Pages 509-531
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  15. OriginalPaper

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

    Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew Blaschko Pages 533-553
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  16. OriginalPaper

    Incremental learning of event definitions with Inductive Logic Programming

    Nikos Katzouris, Alexander Artikis, Georgios Paliouras Pages 555-585
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  17. OriginalPaper

    Generalized gradient learning on time series

    Brijnesh J. Jain Pages 587-608
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  18. OriginalPaper

    Learning from evolving video streams in a multi-camera scenario

    Samaneh Khoshrou, Jaime S. Cardoso, Luís F. Teixeira Pages 609-633
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  19. OriginalPaper

    Probabilistic clustering of time-evolving distance data

    Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir S. Raman… Pages 635-654
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  20. OriginalPaper

    Regularized feature selection in reinforcement learning

    Dean S. Wookey, George D. Konidaris Pages 655-676
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