| Method and apparatus for automatic entity disambiguation M Blume, R Calmbach, D Freitag, R Rohwer, S Zoldi US Patent 7,672,833, 2010 | 453 | 2010 |
| Soft Co-Clustering of Data FW Elliott, R Rohwer, SC Jones, GJ Tucker, CJ Kain, CN Weidert US Patent App. 12/133,902, 2009 | 305 | 2009 |
| Phoneme classification experiments using radial basis functions Renals, Rohwer International 1989 Joint Conference on Neural Networks, 461-467 vol. 1, 1989 | 212 | 1989 |
| Gaussian regression and optimal finite dimensional linear models H Zhu, CKI Williams, R Rohwer, M Morciniec Aston University, 1997 | 159 | 1997 |
| No free lunch for cross-validation H Zhu, R Rohwer Neural Computation 8 (7), 1421-1426, 1996 | 113 | 1996 |
| A study of network dynamics S Renals, R Rohwer Journal of Statistical Physics 58, 825-848, 1990 | 108 | 1990 |
| New experiments in distributional representations of synonymy D Freitag, M Blume, J Byrnes, E Chow, S Kapadia, R Rohwer, Z Wang Proceedings of the Ninth Conference on Computational Natural Language …, 2005 | 102 | 2005 |
| Information geometric measurements of generalisation H Zhu, R Rohwer | 96 | 1995 |
| The" moving targets" training algorithm R Rohwer Advances in neural information processing systems 2, 1989 | 96 | 1989 |
| Training time-dependence in neural networks R Rohwer IEEE First International Conference on Neural Networks, 701-708, 1987 | 79 | 1987 |
| A Theoretical and Experimental Account of n-Tuple Classifier Performance R Rohwer, M Morciniec Neural Computation 8 (3), 629-642, 1996 | 65 | 1996 |
| The theoretical and experimental status of the n-tuple classifier R Rohwer, M Morciniec Neural Networks 11 (1), 1-14, 1998 | 56 | 1998 |
| Bayesian invariant measurements of generalization H Zhu, R Rohwer Neural Processing Letters 2, 28-31, 1995 | 47 | 1995 |
| Measurements of generalisation based on information geometry H Zhu, R Rohwer Mathematics of neural networks: models, algorithms and applications, 394-398, 1997 | 41 | 1997 |
| Towards full automation of lexicon construction R Rohwer, D Freitag Proceedings of the Computational Lexical Semantics Workshop at HLT-NAACL …, 2004 | 39 | 2004 |
| Bayesian regression filters and the issue of priors H Zhu, R Rohwer Neural Computing & Applications 4, 130-142, 1996 | 39 | 1996 |
| Dynamic decentralized any-time hierarchical clustering H Van Dyke Parunak, R Rohwer, TC Belding, S Brueckner International Workshop on Engineering Self-Organising Applications, 66-81, 2006 | 25 | 2006 |
| Efficient use of training data in the n-tuple recognition method R Tarling, R Rohwer Electronics letters 29 (24), 2093-2094, 1993 | 24 | 1993 |
| Knowledge base with clustered data objects J Byrnes, R Rohwer US Patent 7,689,526, 2010 | 21 | 2010 |
| Learning phoneme recognition using neural networks S Renals, R Rohwer International Conference on Acoustics, Speech, and Signal Processing,, 413-416, 1989 | 20 | 1989 |
