Dr Yuri Kalnishkan

  1. 2019
  2. E-pub ahead of print

    Aggregating Algorithm for prediction of packs

    Adamskiy, D., Bellotti, T., Dzhamtyrova, R. & Kalnishkan, Y., 7 Jan 2019, In : Machine Learning. p. 1-30 30 p.

    Research output: Contribution to journalArticle

  3. 2018
  4. E-pub ahead of print

    Robustness Against Unknown Noise for Raw Data Fusing Neural Networks

    Bijelic, M., Muench, C., Ritter, W., Kalnishkan, Y. & Dietmayer, K., 10 Dec 2018, 21st IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018). IEEE Xplore, p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. 2017
  6. Unpublished

    Aggregating Algorithm for Prediction of Packs

    Adamskiy, D., Bellotti, T., Dzhamtyrova, R. & Kalnishkan, Y., 23 Oct 2017, (Unpublished)

    Research output: Working paper

  7. 2016
  8. Published

    Aggregation Algorithm vs. Average For Time Series Prediction

    Jamil, W., Kalnishkan, Y. & Bouchachia, H., 23 Sep 2016, Proceedings of the ECML PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments, STREAMEVOLV-2016. p. 1-14 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. E-pub ahead of print

    An Upper Bound for Aggregating Algorithm for Regression with Changing Dependencies

    Kalnishkan, Y., 21 Sep 2016, Algorithmic Learning Theory : 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings. Springer International Publishing, Vol. 9925, p. 238-252 15 p. (Lecture Notes in Computer Science; vol. 9925)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. E-pub ahead of print

    Specialist Experts for Prediction with Side Information

    Kalnishkan, Y., Adamskiy, D., Chernov, A. & Scarfe, T., 4 Feb 2016, 2015 IEEE International Conference on Data Mining Workshop (ICDMW). IEEE, p. 1470-1477 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. 2015
  12. Published

    Predictive Complexity for Games with Finite Outcome Spaces

    Kalnishkan, Y., 2015, Measures of Complexity: Festschrift for Alexey Chervonenkis. Vovk, V., Papadopoulos, H. & Gammerman, A. (eds.). Springer-Verlag, p. 117-139 23 p. 8

    Research output: Chapter in Book/Report/Conference proceedingChapter

  13. 2014
  14. Published

    Generalised Entropies and Asymptotic Complexities of Languages

    Kalnishkan, Y., Vyugin, M. V. & Vovk, V., Oct 2014, In : Information and Computation. 237, p. 101–141

    Research output: Contribution to journalArticle

  15. Published

    Segmentation of electronic dance music

    Scarfe, T., Koolen, W. & Kalnishkan, Y., 2014, In : International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications. 22, 3/4

    Research output: Contribution to journalArticle

  16. 2013
  17. Published

    An identity for kernel ridge regression

    Zhdanov, F. & Kalnishkan, Y., 18 Feb 2013, In : Theoretical Computer Science. 473, p. 157-178

    Research output: Contribution to journalArticle

  18. Published

    A long-range self-similarity approach to segmenting DJ mixed music streams

    Scarfe, T., Koolen, W. M. & Kalnishkan, Y., 2013, Artificial Intelligence Applications and Innovations: Proceedings of the 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 – October 2, 2013. Papadopoulos, H., Andreou, A. S., Iliadis, L. & Maglogiannis, I. (eds.). Springer, p. 235-244 10 p. (IFIP Advances in Information and Communication Technology; vol. 412)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Unpublished

    Merging Time Series with Specialist Experts

    Scarfe, T. & Kalnishkan, Y., 2013, (Unpublished) 16 p.

    Research output: Working paper

  20. 2012
  21. Published

    Generalized entropies and asymptotic complexities of languages

    Kalnishkan, Y., Vyugin, M. V. & Vovk, V., Sep 2012, Proceedings of the Fifth Workshop on Information-Theoretic Methods in Science and Engineering. de Rooij, S., Kotlowski, W., Rissanen, J., Millimaki, P., T. R. & Yamanishi, K. (eds.). Amsterdam: CWI, p. 44-47 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Published

    Universal Algorithms for Probability Forecasting

    Zhdanov, F. & Kalnishkan, Y., Aug 2012, In : International Journal on Artificial Intelligence Tools. 21, 4, 1240015

    Research output: Contribution to journalArticle

  23. 2010
  24. Published

    Supermartingales in prediction with expert advice

    Chernov, A., Kalnishkan, Y., Zhdanov, F. & Vovk, V., 17 Jun 2010, In : Theoretical Computer Science. 411, 29-30, p. 2647-2669 23 p.

    Research output: Contribution to journalArticle

  25. Published
  26. Published

    An Identity for Kernel Ridge Regression

    Zhdanov, F. & Kalnishkan, Y., 2010, Learning Theory 21st International Conference, ALT 2010, Proceedings: volume 6331 of Lecture Notes in Computer Science. Springer, p. 405-419 (Lecture Notes in Computer Science; vol. 6331)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  27. Published

    Linear Probability Forecasting

    Zhdanov, F. & Kalnishkan, Y., 2010, Artificial Intelligence Applications and Innovations, AIAI 2010, Proceedings: vol 339 of IFIP Advances in Information and Communication Technology. Springer, p. 4-11 (IFIP Advances in Information and Communication Technology; vol. 339)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  28. 2008
  29. Published

    Supermartingales in Prediction with Expert Advice

    Chernov, A., Kalnishkan, Y., Zhdanov, F. & Vovk, V., 2008, Lecture Notes in Articial Intelligence. Springer, Vol. 5254, p. 199-213 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  30. Published

    The weak aggregating algorithm and weak mixability

    Kalnishkan, Y. & Vyugin, M. V., 2008, In : Journal of Computer and System Sciences. 74, 8, p. 1228-1244

    Research output: Contribution to journalArticle

  31. 2007
  32. Published

    Generalised entropy and asymptotic complexities of languages

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2007, Proceedings of the Twentieth Annual Conference on Learning Theory. Bshouty, N. & Gentily, C. (eds.). Berlin: Springer, Vol. 4539, p. 293-307 15 p. (Lecture Notes in Artificial Intelligence; vol. 4539)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  33. Published

    On-line Regression Competitive with Changing Predictors

    Busuttil, S. & Kalnishkan, Y., 2007, Algorithmic Learning Theory, 18th International Conference, ALT 2007, Proceedings: 4754 of Lecture Notes in Computer Science. Springer, p. 181-195 (Lecture Notes in Computer Science,; vol. 4754)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  34. Published

    Weighted Kernel Regression for Predicting Changing Dependencies

    Busuttil, S. & Kalnishkan, Y., 2007, Machine Learning: ECML 2007, 18th European Conference on Machine Learning: volume 4701 of Lecture Notes in Computer Science. Springer, p. 535-542 (Lecture Notes in Computer Science; vol. 4701)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  35. 2005
  36. Published

    How many strings are easy to predict?

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 25 Aug 2005, In : Information and Computation. 201, 1, p. 55-71 17 p.

    Research output: Contribution to journalArticle

  37. 2004
  38. Published

    Loss functions, complexities, and the Legendre transformation

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 17 Feb 2004, In : Theoretical Computer Science. 313, 2, p. 195-207 13 p.

    Research output: Contribution to journalArticle

  39. Published

    A criterion for the existence of predictive complexity for binary games

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2004, Proceedings of the Fifteenth International Conference on Algorithmic Learning Theory. Ben-David, S., Case, J. & Maruoka, A. (eds.). Heidelberg: Springer, Vol. 3244, p. 249-263 15 p. (Lecture Notes in Artificial Intelligence; vol. 3244)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  40. Published

    On-line Prediction with Kernels and the Complexity Approximation Principle

    Gammerman, A., Kalnishkan, Y. & Vovk, V., 2004, Uncertainty in Artificial Intelligence, Proceedings of the Twentieth Conference. Chickering, M. & Halpern, J. (eds.). AUAI Press, p. 170-176

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  41. 2003
  42. Published

    How many strings are easy to predict?

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2003, In : ALGORITHMIC NUMBER THEORY, PRCEEDINGS. 2777, p. 522-536 15 p.

    Research output: Contribution to journalArticle

  43. 2002
  44. Published

    General linear relations among different types of predictive complexity

    Kalnishkan, Y., 2002, In : Theoretical Computer Science. 271, 1-2, p. 181-200

    Research output: Contribution to journalArticle

  45. Published

    Mixability and the Existence of Weak Complexities

    Kalnishkan, Y. & Vyugin, M., 2002, Computational Learning Theory, 15th Annual Conference on Computational Learning Theory, COLT 2002, Proceedings: volume 2375 of Lecture Notes in Artificial Intelligence. Springer, p. 105-120 (Lecture Notes in Artificial Intelligence; vol. 2375)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  46. Published

    On the Absence of Predictive Complexity for Some Games

    Kalnishkan, Y. & Vyugin, M. V., 2002, Algorithmic Learning Theory 13th International Conference, ALT 2002, Proceedings: volume 2533 of Lecture Notes in Artificial Intelligence. Springer, (Lecture Notes in Artificial Intelligence; vol. 2533)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  47. 2001
  48. Published

    Loss functions, complexities, and the Legendre transformation

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2001, Proceedings of the Twelfth International Conference on Algorithmic Learning Theory. Abe, N., Khardon, R. & Zeugmann, T. (eds.). London: Springer, p. 181-189 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  49. 2000
  50. Published

    Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters

    Kalnishkan, Y., 2000, Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence. Springer, p. 203-210 (Lecture Notes in Artificial Intelligence; vol. 1810)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  51. 1999
  52. Published

    General Linear Relations among Different Types of Predictive Complexity

    Kalnishkan, Y., 1999, Algorithmic Learning Theory, 10th International Conference, ALT'99, Proceedings: volume 1720 of Lecture Notes in Artificial Intelligence. Springer, p. 323-334 (Lecture Notes in Artificial Intelligence; vol. 1720)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  53. Published

    Linear Relations between Square-Loss and Kolmogorov Complexity

    Kalnishkan, Y., 1999, of the Twelfth Annual Conference on Computation Learning Theory. ACM, p. 226-232

    Research output: Chapter in Book/Report/Conference proceedingConference contribution