Neural Computation

Research outputs

  1. 2018
  2. Published

    Convex Coupled Matrix and tensor completion

    Wimalawarne, K., Yamada, M. & Mamitsuka, H., 1 Nov 2018, In : Neural Computation. 30, 11, p. 3095-3127 33 p.

    Research output: Contribution to journalLetterScientificpeer-review

  3. 2016
  4. Published

    Memory stacking in hierarchical networks

    Westö, J., May, P. J. C. & Tiitinen, H., 1 Feb 2016, In : Neural Computation. 28, 2, p. 327-353 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 2013
  6. Published

    Enhanced Gradient for Training Restricted Boltzmann Machines

    Cho, K., Raiko, T. & Ilin, A., 2013, In : Neural Computation. 25, 3

    Research output: Contribution to journalArticleScientificpeer-review

  7. Published

    Multiple Spectral Kernel Learning and a Gaussian Complexity Computation

    Reyhani, N., 2013, In : Neural Computation. 25, 7, p. 1926--1951

    Research output: Contribution to journalArticleScientificpeer-review

  8. 2012
  9. Published

    Multiple kernel learning with gaussianity measures

    Hino, H., Reyhani, N. & Murata, N., 2012, In : Neural Computation. 24, 7, p. 1853-1881 29 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 2004
  11. Published

    Blind Separation of Positive Sources by Globally Convergent Gradient Search

    Oja, E. & Plumbley, M., 2004, In : Neural Computation. 16, 9, p. 1811-1825

    Research output: Contribution to journalArticleScientificpeer-review

  12. 2003
  13. Published

    Continuous-time symmetric Hopfield nets are computationally universal

    Sima, J. & Orponen, P., 2003, In : Neural Computation. 15, 3, p. 693-733

    Research output: Contribution to journalArticleScientificpeer-review

  14. Published

    General purpose computation with neural networks: a survey of complexity theoretic results

    Sima, J. & Orponen, P., 2003, In : Neural Computation. 15, 12, p. 2727-2778

    Research output: Contribution to journalArticleScientificpeer-review

  15. Published

    Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video

    Hurri, J. & Hyvärinen, A., 2003, In : Neural Computation. 15, 3, p. 663-691

    Research output: Contribution to journalArticleScientificpeer-review

  16. 2002
  17. Published

    An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models

    Valpola, H. & Karhunen, J., 2002, In : Neural Computation. 14, 11, p. 2647-2692

    Research output: Contribution to journalArticleScientificpeer-review

  18. Published

    Bayesian model assessment and comparison using cross-validation predictive densities

    Vehtari, A. & Lampinen, J., 2002, In : Neural Computation. 14, 10, p. 2439-2468 30 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. Published

    Clustering Based on Conditional Distributions in an Auxiliary Space

    Sinkkonen, J. & Kaski, S., 2002, In : Neural Computation. 14, p. 217-239

    Research output: Contribution to journalArticleScientificpeer-review

  20. Published

    Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem

    Girolami, M., 2002, In : Neural Computation. 14, p. 669-688

    Research output: Contribution to journalArticleScientificpeer-review

  21. 2001
  22. Published

    Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures

    Koivunen, V., Enescu, M. & Oja, E., 2001, In : Neural Computation. 13, 10, p. 2339-2357

    Research output: Contribution to journalArticleScientificpeer-review

  23. Published

    A Variational Method for Learning Sparse and Overcomplete Representations

    Girolami, M., 2001, In : Neural Computation. 13, 11, p. 2517-2532

    Research output: Contribution to journalArticleScientificpeer-review

  24. Published

    Complexity Pursuit: Separating Interesting Components from Time-Series

    Hyvärinen, A., 2001, In : Neural Computation. 13, 4, p. 883--898

    Research output: Contribution to journalArticleScientificpeer-review

  25. Published

    Information transfer between rhythmically coupled networks: Reading the hippocampal phase code

    Jensen, O., 2001, In : Neural Computation. 13, p. 2743-2761

    Research output: Contribution to journalArticleScientificpeer-review

  26. Published

    Topographic Independent Component Analysis

    Hyvärinen, A., Hoyer, P. O. & Inki, M., 2001, In : Neural Computation. 13, 7, p. 1527-1558

    Research output: Contribution to journalArticleScientificpeer-review

  27. 2000
  28. Published

    Emergence of Phase and Shift Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces

    Hyvärinen, A. & Hoyer, P., 2000, In : Neural Computation. 12, 7, p. 1705-1720

    Research output: Contribution to journalArticleScientificpeer-review

  29. 1999
  30. Published

    Comparison of SOM Point Densities Based on Different Criteria

    Kohonen, T., 1999, In : Neural Computation. 11, 8, p. 2081-2095

    Research output: Contribution to journalArticleScientificpeer-review

  31. Published

    Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation

    Hyvärinen, A., 1999, In : Neural Computation. 11, 7, p. 1739-1768

    Research output: Contribution to journalArticleScientificpeer-review

  32. 1998
  33. Published

    On the effect of analog noise in discrete-time analog computations

    Maass, W. & Orponen, P., 1998, In : Neural Computation. 10, 5, p. 1071-1095 25 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. 1997
  35. Published

    A Fast Fixed-Point Algorithm for Independent Component Analysis

    Hyvärinen, A. & Oja, E., 1997, In : Neural Computation. 9, 7, p. 1483-1492

    Research output: Contribution to journalArticleScientificpeer-review

  36. Published

    Self-Organized Formation of Various Invariant-Feature Filters in the Adaptive-Subspace SOM

    Kohonen, T., Kaski, S. & Lappalainen, H., 1997, In : Neural Computation. 9, p. 1321-1344

    Research output: Contribution to journalArticleScientificpeer-review

  37. 1996
  38. Published

    Predictive minimum description length criterion for time series modeling with neural networks

    Lehtokangas, M., Saarinen, J., Huuhtanen, P. & Kaski, K., 1996, In : Neural Computation. 8, 3, p. 583-593

    Research output: Contribution to journalArticleScientificpeer-review

  39. Published

    The computational power of discrete Hopfield nets with hidden units

    Orponen, P., 1996, In : Neural Computation. 8, 2, p. 403-415 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  40. 1995
  41. Published

    INITIALIZING WEIGHTS OF A MULTILAYER PERCEPTRON NETWORK BY USING THE ORTHOGONAL LEAST-SQUARES ALGORITHM

    Lehtokangas, M., Saarinen, J., Kaski, K. & Huuhtanen, P., 1995, In : Neural Computation. 7, 5, p. 982-999

    Research output: Contribution to journalArticleScientificpeer-review

  42. 1994
  43. Published

    Stability of Oja's Subspace Rule

    Karhunen, J., 1994, In : Neural Computation. 6, p. 739-747

    Research output: Contribution to journalArticleScientificpeer-review

  44. 1993
  45. Published

    Attraction radii in binary Hopfield nets are hard to compute

    Floréen, P. & Orponen, P., 1993, In : Neural Computation. 5, 5, p. 812-821 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

ID: 346349