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Results: 1-7 |
Results: 7

Authors: Hughes, VF Melvin, DG Niranjan, M Alexander, GAM Trull, AK
Citation: Vf. Hughes et al., Clinical validation of an artificial neural network trained to identify acute allograft rejection in liver transplant recipients, LIVER TRANS, 7(6), 2001, pp. 496-503

Authors: Adali, T Van Hulle, M Niranjan, M
Citation: T. Adali et al., Untitled - Introduction, J VLSI S P, 26(1-2), 2000, pp. 5-6

Authors: de Freitas, JFG Niranjan, M Gee, AH
Citation: Jfg. De Freitas et al., Dynamic learning with the EM algorithm for neural networks, J VLSI S P, 26(1-2), 2000, pp. 119-131

Authors: de Freitas, JFG Niranjan, M Gee, AH
Citation: Jfg. De Freitas et al., Hierarchical Bayesian models for regularization in sequential learning, NEURAL COMP, 12(4), 2000, pp. 933-953

Authors: de Freitas, JFG Niranjan, M Gee, AH Doucet, A
Citation: Jfg. De Freitas et al., Sequential Monte Carlo methods to train neural network models, NEURAL COMP, 12(4), 2000, pp. 955-993

Authors: Melvin, DG Niranjan, M Prager, RW Trull, AK Hughes, VF
Citation: Dg. Melvin et al., Neuro-computing versus linear statistical techniques applied to liver transplant monitoring: A comparative study, IEEE BIOMED, 47(8), 2000, pp. 1036-1043

Authors: Reinhard, K Niranjan, M
Citation: K. Reinhard et M. Niranjan, Parametric subspace modeling of speech transitions, SPEECH COMM, 27(1), 1999, pp. 19-42
Risultati: 1-7 |