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Tom Downs: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Marcus Gallagher, Marcus R. Frean, Tom Downs
    Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:840-846 [Conf]
  2. Steven Young, Tom Downs
    Improvements and Extensions to the Constructive Algorithm CARVE. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:513-518 [Conf]
  3. Tom Downs, Jianxiong Wang
    Improving Support Vector Solutions by Selecting a Sequence of Training Subsets. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:696-701 [Conf]
  4. Tom Downs, Adelina Tang
    Boosting the Tree Augmented Naïve Bayes Classifier. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:708-713 [Conf]
  5. Andrei Hryshko, Tom Downs
    A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:588-595 [Conf]
  6. David Rohde, Michael Drinkwater, Marcus Gallagher, Tom Downs, Marianne Doyle
    Machine Learning for Matching Astronomy Catalogues. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:702-707 [Conf]
  7. Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
    On the Performance of the HONG Network for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:285-290 [Conf]
  8. Nicholas J. Redding, Tom Downs
    Learning in Feedforward Networks with Nonsmooth Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1056-1063 [Conf]
  9. Robert C. Williamson, Tom Downs
    Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1990, v:4, n:2, pp:89-158 [Journal]
  10. Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
    Boosting the HONG network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:51, n:, pp:75-86 [Journal]
  11. Tom Downs, Kevin E. Gates, Annette Masters
    Exact Simplification of Support Vector Solutions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:293-297 [Journal]
  12. Marcus Gallagher, Tom Downs, Ian Wood
    Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:16, n:2, pp:177-186 [Journal]
  13. Marcus Gallagher, Tom Downs
    Visualization of learning in multilayer perceptron networks using principal component analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2003, v:33, n:1, pp:28-34 [Journal]

  14. Tuning pattern classifier parameters using a genetic algorithm with an application in mobile robotics. [Citation Graph (, )][DBLP]

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