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Matteo Gagliolo: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Matteo Gagliolo, Jürgen Schmidhuber
    Impact of Censored Sampling on the Performance of Restart Strategies. [Citation Graph (0, 0)][DBLP]
    CP, 2006, pp:167-181 [Conf]
  2. Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber
    Adaptive Online Time Allocation to Search Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:134-143 [Conf]
  3. Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
    Evolino for recurrent support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:593-598 [Conf]
  4. Davide Anguita, Matteo Gagliolo
    MDL Based Model Selection for Relevance Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:468-473 [Conf]
  5. Matteo Gagliolo, Jürgen Schmidhuber
    A Neural Network Model for Inter-problem Adaptive Online Time Allocation. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:7-12 [Conf]
  6. Matteo Gagliolo, Jürgen Schmidhuber
    Learning Restart Strategies. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:792-797 [Conf]
  7. Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez
    Training Recurrent Networks by Evolino. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:3, pp:757-779 [Journal]
  8. Matteo Gagliolo, Jürgen Schmidhuber
    Learning dynamic algorithm portfolios. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2006, v:47, n:3-4, pp:295-328 [Journal]

  9. Mixed-Effects Modeling of Optimisation Algorithm Performance. [Citation Graph (, )][DBLP]

  10. Towards Distributed Algorithm Portfolios. [Citation Graph (, )][DBLP]

  11. Algorithm Selection as a Bandit Problem with Unbounded Losses. [Citation Graph (, )][DBLP]

  12. Evolino for recurrent support vector machines [Citation Graph (, )][DBLP]

  13. Algorithm Selection as a Bandit Problem with Unbounded Losses [Citation Graph (, )][DBLP]

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