Machine Learning

Research outputs

  1. 2019
  2. Published

    Data scarcity, robustness and extreme multi-label classification

    Babbar, R. & Schölkopf, B., 15 Sep 2019, In : Machine Learning. 108, 8-9, p. 1329-1351 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Published

    Distributed Bayesian matrix factorization with limited communication

    Qin, X., Blomstedt, P., Leppäaho, E., Parviainen, P. & Kaski, S., 1 Jan 2019, In : Machine Learning. p. 1-26

    Research output: Contribution to journalArticleScientificpeer-review

  4. 2018
  5. Published

    Inverse reinforcement learning from summary data

    Kangasrääsiö, A. & Kaski, S., Sep 2018, In : Machine Learning. 107, 8-10, p. 1517–1535

    Research output: Contribution to journalArticleScientificpeer-review

  6. 2017
  7. Published

    Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction

    Daee, P., Peltola, T., Soare, M. & Kaski, S., 12 Jul 2017, In : Machine Learning. 106, 9, p. 1599-1620 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Published

    Multi-view kernel completion

    Bhadra, S., Kaski, S. & Rousu, J., May 2017, In : Machine Learning. 106, 5, p. 713–739

    Research output: Contribution to journalArticleScientificpeer-review

  9. Published

    Adaptive edge weighting for graph-based learning algorithms

    Karasuyama, M. & Mamitsuka, H., 2017, In : Machine Learning. 106, 2, p. 307-335

    Research output: Contribution to journalArticleScientificpeer-review

  10. 2016
  11. Published

    Bayesian multi-tensor factorization

    Khan, S., Leppäaho, E. & Kaski, S., Nov 2016, In : Machine Learning. 105, 2, p. 233-253 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Published

    Explaining mixture models through semantic pattern mining and banded matrix visualization

    Adhikari, P. R., Vavpetič, A., Kralj, J., Lavrač, N. & Hollmén, J., Oct 2016, In : Machine Learning. 105, 1, p. 3-39 36 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Published

    Learning undirected graphical models using persistent sequential Monte Carlo

    Xiong, H., Szedmak, S. & Piater, J., May 2016, In : Machine Learning. 103, 2, p. 239-260 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Published

    Probabilistic archetypal analysis

    Seth, S. & Eugster, M. J. A., Jan 2016, In : Machine Learning. 102, 1, p. 85-113 29 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. 2015
  16. Published

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

    Bielza, C., Gama, J., Jorge, A. & Zliobaite, I., 21 Jul 2015, In : Machine Learning. 100, 2-3, p. 157-159 3 p.

    Research output: Contribution to journalEditorialScientific

  17. Published

    Information retrieval approach to meta-visualization

    Peltonen, J. & Lin, Z., 1 May 2015, In : Machine Learning. 99, 2, p. 189-229 41 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Published

    Evaluation methods and decision theory for classification of streaming data with temporal dependence

    Zliobaite, I., Bifet, A., Read, J., Pfahringer, B. & Holmes, G., 2015, In : Machine Learning. 98, 3, p. 455-482

    Research output: Contribution to journalArticleScientificpeer-review

  19. Published

    Multilabel Classification through Random Graph Ensembles

    Su, H. & Rousu, J., 2015, In : Machine Learning. 99, 2, p. 231-256 26 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Published

    Optimizing regression models for data streams with missing values

    Zliobaite, I. & Hollmen, J., 2015, In : Machine Learning. 99, 1, p. 47-73

    Research output: Contribution to journalArticleScientificpeer-review

  21. 2012
  22. Published

    Focused multi-task learning in a Gaussian process framework

    Leen, G., Peltonen, J. & Kaski, S., 2012, In : Machine Learning. 89, 1-2, p. 157-182

    Research output: Contribution to journalArticleScientificpeer-review

  23. 2011
  24. Published

    Introduction to the special issue on mining and learning with graphs

    Vishwanathan, S. V. N., Kaski, S., Neville, J. & Wrobel, S., Feb 2011, In : Machine Learning. 82, 2, p. 91-93 3 p.

    Research output: Contribution to journalEditorialScientific

  25. Published

    Multi-way set enumeration in weight tensors

    Georgii, E., Tsuda, K. & Schölkopf, B., Feb 2011, In : Machine Learning. 82, 2, p. 123-155 33 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. 2010
  27. Published

    Infinite factorization of multiple non-parametric views

    Rogers, S., Klami, A., Sinkkonen, J., Girolami, M. & Kaski, S., 2010, In : Machine Learning. 79, 1-2, p. 201-226

    Research output: Contribution to journalArticleScientificpeer-review

  28. 2009
  29. Published

    Latent Grouping Models for User Preference Prediction

    Savia, E., Puolamäki, K. & Kaski, S., 2009, In : Machine Learning. 74, p. 75-109

    Research output: Contribution to journalArticleScientificpeer-review

  30. 2005
  31. Published

    On Discriminative Bayesian Network Classifiers and Logistic Regression

    Roos, T., Wettig, H., Grunwald, P., Myllymäki, P. & Tirri, H., 2005, In : Machine Learning. 59, 3, p. 267-296

    Research output: Contribution to journalArticleScientificpeer-review

ID: 332680