2008 |
23 | EE | Marco Grzegorczyk,
Dirk Husmeier,
Kieron D. Edwards,
Peter Ghazal,
Andrew J. Millar:
Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler.
Bioinformatics 24(18): 2071-2078 (2008) |
22 | EE | Marco Grzegorczyk,
Dirk Husmeier:
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move.
Machine Learning 71(2-3): 265-305 (2008) |
2006 |
21 | EE | Adriano V. Werhli,
Marco Grzegorczyk,
Dirk Husmeier:
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Bioinformatics 22(20): 2523-2531 (2006) |
20 | EE | Wolfgang P. Lehrach,
Dirk Husmeier,
Christopher K. I. Williams:
A regularized discriminative model for the prediction of protein-peptide interactions.
Bioinformatics 22(5): 532-540 (2006) |
2005 |
19 | EE | Dirk Husmeier:
Discriminating between rate heterogeneity and interspecific recombination in DNA sequence alignments with phylogenetic factorial hidden Markov models.
ECCB/JBI 2005: 172 |
18 | EE | Wolfgang P. Lehrach,
Dirk Husmeier,
Christopher K. I. Williams:
Probabilistic in Silico Prediction of Protein-Peptide Interactions.
Systems Biology and Regulatory Genomics 2005: 188-197 |
17 | EE | Dirk Husmeier,
Frank Wright,
Iain Milne:
Detecting interspecific recombination with a pruned probabilistic divergence measure.
Bioinformatics 21(9): 1797-1806 (2005) |
2004 |
16 | EE | Iain Milne,
Frank Wright,
Glenn Rowe,
David F. Marshall,
Dirk Husmeier,
Gráinne McGuire:
TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments.
Bioinformatics 20(11): 1806-1807 (2004) |
2003 |
15 | | Dirk Husmeier:
Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks.
Bioinformatics 19(17): 2271-2282 (2003) |
2002 |
14 | | Dirk Husmeier,
Gráinne McGuire:
Detecting recombination with MCMC.
ISMB 2002: 345-353 |
13 | | Dirk Husmeier,
Frank Wright:
A Bayesian approach to discriminate between alternative DNA sequence segmentations.
Bioinformatics 18(2): 226-234 (2002) |
12 | | Dirk Husmeier,
Frank Wright:
Detection of Recombination in DNA Multiple Alignments with Hidden Markov Models.
Journal of Computational Biology 8(4): 401-427 (2002) |
2001 |
11 | | Dirk Husmeier,
Frank Wright:
Approximate Bayesian Discrimination between Alternative DNA Mosaic Structures.
German Conference on Bioinformatics 2001: 182-184 |
10 | | Dirk Husmeier,
Frank Wright:
Probabilistic divergence measures for detecting interspecies recombination.
ISMB (Supplement of Bioinformatics) 2001: 123-131 |
9 | EE | Kaspar Althoefer,
Bart Krekelberg,
Dirk Husmeier,
Lakmal D. Seneviratne:
Reinforcement learning in a rule-based navigator for robotic manipulators.
Neurocomputing 37(1-4): 51-70 (2001) |
2000 |
8 | | Dirk Husmeier,
Frank Wright:
Detecting Sporadic Recombination in DNA Alignments with Hidden Markov Models.
German Conference on Bioinformatics 2000: 19-26 |
7 | | Dirk Husmeier:
The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks.
Neural Computation 12(11): 2685-2717 (2000) |
6 | EE | Dirk Husmeier:
Learning non-stationary conditional probability distributions.
Neural Networks 13(3): 287-290 (2000) |
1999 |
5 | EE | Dirk Husmeier,
William D. Penny,
Stephen J. Roberts:
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers.
Neural Networks 12(4-5): 677-705 (1999) |
1998 |
4 | EE | Stephen J. Roberts,
Dirk Husmeier,
Iead Rezek,
William D. Penny:
Bayesian Approaches to Gaussian Mixture Modeling.
IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1133-1142 (1998) |
3 | EE | Dirk Husmeier,
John G. Taylor:
Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.
Neural Networks 11(1): 89-116 (1998) |
1997 |
2 | | Dirk Husmeier,
John G. Taylor:
Modeling Conditional Probabilities with Committees of RVFL Networks.
ICANN 1997: 1053-1058 |
1 | EE | Dirk Husmeier,
John G. Taylor:
Predicting Conditional Probability Densities of Stationary Stochastic Time Series.
Neural Networks 10(3): 479-497 (1997) |