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Publications of year 1998

Articles in journal or book chapters

  1. W.D. Penny and S.J. Roberts. Bayesian neural networks for classification: how useful is the evidence framework ?. Neural Networks, 12:877-892, 1998. Keyword(s): ANN, BMC. 
    @Article{ evidence,
author = {W.D. Penny and S.J. Roberts},
title = {{Bayesian neural networks for classification: how useful is the evidence framework ?}},
year = {1998},
journal = {{Neural Networks}},
volume = {12},
pages = {877-892},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/evidence-tech.ps},
keyword = {ANN,BMC} 
}


  2. S. J. Roberts, D. Husmeier, W. Penny, and I. Rezek. Bayesian Approaches to Gaussian Mixture Modelling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1133-1142, 1998. Keyword(s): Mixture, BMC. 
    @Article{ roberts98,
author = {S. J. Roberts and D. Husmeier and W. Penny and I. Rezek},
title = {{Bayesian Approaches to Gaussian Mixture Modelling}},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {1998},
volume = {20},
number = {11},
pages = {1133-1142},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/gmmclust.ps},
keyword = {Mixture,BMC} 
}


  3. S.J. Roberts, W. Penny, and I. Rezek. Temporal and spatial complexity measures for EEG-based brain-computer interfacing. Medical and Biological Engineering and Computing, 37(1):93-99, 1998. Keyword(s): EEG, Complexity, BCI. 
    @Article{ complexity,
author = {S.J. Roberts and W. Penny and I. Rezek},
title = {{Temporal and spatial complexity measures for EEG-based brain-computer interfacing}},
journal = {{Medical and Biological Engineering and Computing}},
year = {1998},
volume = {37},
number = {1},
pages = {93-99},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/bcipap.ps},
keyword = {EEG,Complexity,BCI} 
}


Conference articles

  1. W.D. Penny D. Husmeier and S.J. Roberts. Empirical Evaluation of Bayesian Sampling for Neural Classifiers. In M.Boden L.Niklason and T.Ziemke, editors, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, 1998. Keyword(s): Variational, ICA, Mixture. 
    @InProceedings{ will_mcmc_conf,
author = {D. Husmeier, W.D. Penny and S.J. Roberts},
title = {Empirical Evaluation of Bayesian Sampling for Neural Classifiers},
booktitle = {ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks},
year = {1998},
page = {323-328},
editor = {L.Niklason, M.Boden, and T.Ziemke},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/icann98.ps},
keyword = {Variational,ICA,Mixture} 
}


Internal reports

  1. W.D. Penny and S.J. Roberts. Dynamic Linear Models, Recursive Least Squares and Steepest Descent Learning. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): Markov, Dynamic. 
    @TechReport{ will_dyn_lin,
author = {W.D. Penny and S.J. Roberts},
title = {Dynamic Linear Models, Recursive Least Squares and Steepest Descent Learning},
institution = {Department of Electrical Engineering, Imperial College, London},
year = {1998},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/kalman.ps},
keyword = {Markov,Dynamic} 
}


  2. W.D. Penny and S.J. Roberts. Error bars for linear and nonlinear neural network regression models. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): ANN. 
    @TechReport{ will_error,
author = {W.D. Penny and S.J. Roberts},
title = {Error bars for linear and nonlinear neural network regression models},
institution = {Department of Electrical Engineering, Imperial College, London},
year = {1998},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/error_bars.ps},
keyword = {ANN} 
}


  3. W.D. Penny and S.J. Roberts. Gaussian Observation Hidden Markov Models for EEG analysis. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): Markov, EEG. 
    @TechReport{ will_hmm_eeg,
author = {W.D. Penny and S.J. Roberts},
title = {Gaussian Observation Hidden Markov Models for EEG analysis},
institution = {Department of Electrical Engineering, Imperial College, London},
year = {1998},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/hmm_eeg.ps},
keyword = {Markov,EEG} 
}


  4. W.D. Penny and S.J. Roberts. Hidden Markov Models with Extended Observation Densities. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. 
    @TechReport{ will_hmm_obs,
author = {W.D. Penny and S.J. Roberts},
title = {Hidden Markov Models with Extended Observation Densities},
institution = {Department of Electrical Engineering, Imperial College, London},
year = {1998},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/hmm_obs.ps},
keyword = {} 
}


  5. W.D. Penny, S.J. Roberts, and M.J. Stokes. Imagined hand movements identified from the EEG mu-rhythm. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): BCI, EEG. 
    @TechReport{ offline,
author = {W.D. Penny and S.J. Roberts and M.J. Stokes},
title = {Imagined hand movements identified from the EEG mu-rhythm},
institution = {Department of Electrical Engineering, Imperial College, London},
year = {1998},
ps = {http://www.fil.ion.ucl.ac.uk/~wpenny/publications/imag-tech.ps},
keyword = {BCI,EEG} 
}



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Last modified: Tue Feb 17 16:23:57 2009
Author: wpenny.

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