Christopher M. Bishop
Bishop, C. M. (2008)
A New Framework for Machine Learning
Invited paper at the 2008 World Congress on Computational Intelligence. Lecture Notes in Computer Science LNCS 5050, 1–24. Springer. [Abstract] [PDF]
Bishop, C. M. and Lasserre, J. (2007)
Generative or Discriminative? getting the best of both worlds
In Bayesian Statistics 8, Bernardo, J. M. et al. (Eds), Oxford University Press. 3–23. With discussion. [Abstract] [PDF]
Bishop, C. M. (2006)
Pattern Recognition and Machine Learning
Springer. [Book web pages]
Lasserre, J. Bishop, C. M. and Minka, T. (2006)
Principled hybrids of generative and discriminative models
In Proceedings 2006 IEEE Conference on Computer Vision and Pattern Recognition, New York. [Abstract] [PDF]
Szummer, M. and Bishop, C. M. (2006)
Discriminative writer adaptation
In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR). [Abstract]
Bishop, C. M. Muggleton, S. Kuppermann, A. Moin, P. and Ferguson, N. (2006)
Prediction machines
In Emmott, S. and Rison, S. (Eds.), 2020 Science, pp. 34–35. Microsoft Research. [PDF]
Winn, J. and Bishop, C. M. (2005).
Variational message passing
Journal of Machine Learning Research 6, 661–694. [Abstract] [PDF]
Ulusoy, I. and Bishop, C. M. (2005a)
Comparison of generative and discriminative techniques for object detection and classification
In Ponce, C. S. J. Herbert, M. and Zisserman, A. (Eds.), Proceedings Sicily Workshop on Object Recognition., Sicily. To appear. [Abstract] [PDF]
Ulusoy, I. and Bishop, C. M. (2005b)
Generative versus discriminative models for object recognition
In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. [Abstract] [PDF]
Bishop, C. M. and Ulusoy, I. (2005)
Object recognition via local patch labelling
In Winkler, J. Niranjan, M. and Lawrence, N. (Eds.), Proceedings 2004 Workshop on Machine Learning, Sheffield, pp. 1–21. Springer. [Abstract] [PDF]
Bishop, C. M. Svensén, M. and Hinton, G. E. (2004)
Distinguishing text from graphics in on-line handwritten ink
In Kimura, F. and Fujisawa, H. (Eds.), Proceedings Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9, Tokyo, Japan, pp. 142–147. [Abstract] [PDF]
Krishnapuram, B. Bishop, C. M. and Szummer, M. (2004).
Generative models and Bayesian model comparison for shape recognition
In Kimura, F. and Fujisawa, H. (Eds.), Proceedings Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9, Tokyo, Japan, pp. 20–25. [Abstract] [PDF]
Svensén, M. and Bishop, C. M. (2004)
Robust Bayesian mixture modelling
Neurocomputing 64, 235–252. [Abstract] [PDF]
Bishop, C. M. and Svensén, M. (2004)
Robust Bayesian mixture modelling
In Verleysen, M. (Ed.), Proceedings Twelfth European Symposium on Artificial Neural Networks, pp. 69–74. d-side. [PDF]
Bishop, C. M. (2004)
Clumps, clusters and classification
In Herbert, A. and Jones, K. S. (Eds.), Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham, Computer Monographs, pp. 39–49. Springer.
Bishop, C. M. and Svensén, M. (2003)
Bayesian hierarchical mixtures of experts
In Kjaerulff, U. and Meek, C. (Eds.), Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence, pp. 57–64. Morgan Kaufmann. [Abstract] [PDF]
Bishop, C. M. and Frey, B. (Eds.) (2003
Proceedings Ninth International Workshop on Artificial Intelligence and Statistics
January 3 - 6, Key West, Florida, Published on CD-ROM and on-line. [On line proceedings]
Bishop, C. M. Blake, A. and Marthi, B. (2003)
Super-resolution enhancement of video
In Bishop, C. M. and Frey, B. (Eds.), Proceedings Artificial Intelligence and Statistics, Key West, Florida. Society for Artificial Intelligence and Statistics. ISBN 0-9727358-0-1. [Abstract] [PDF]
Bishop, C. M. and Winn, J. (2003)
Structured variational distributions in VIBES
In Bishop, C. M. and Frey, B. (Eds.), Proceedings Artificial Intelligence and Statistics, Key West, Florida. Society for Artificial Intelligence and Statistics. ISBN 0-9727358-0-1. [Abstract] [PDF]
Bishop, C. M. and Tipping, M. E. (2003)
Bayesian regression and classification
In Suykens, J. Horvath, G. Basu, S. Micchelli, C. and Vandewalle J. (Eds.), Advances in Learning Theory: Methods, Models and Applications, Volume 190, pp. 267–285. IOS Press, NATO Science Series III: Computer and Systems Sciences. [Abstract] [PDF]
Bishop, C. M. Spiegelhalter, D. and Winn, J. (2003)
VIBES: A variational inference engine for Bayesian networks
In Becker, S. Thrun, S. and Obermeyer K. (Eds.), Advances in Neural Information Processing Systems, Volume 15, pp. 793–800. MIT Press. [Abstract] [PDF]
Tipping, M. E. and Bishop, C. M. (2003)
Bayesian image super-resolution
In Becker, S. Thrun, S. and Obermeyer, K. (Eds.), Advances in Neural Information Processing Systems, Volume 15, pp. 1303–1310. [Abstract] [PDF]
Bishop, C. M. (2002)
Discussion of 'Bayesian treed generalized linear models' by Chipman, H. A. George, E. I. and McCulloch, R. E.
In Bernardo, J. M. Bayarri, M. J. Berger, J. O. Dawid, A. P. Heckerman, D. A. Smith, F. M. and West, M. (Eds.), Proceedings Seventh Valencia International Meeting on Bayesian Statistics, Volume 7, pp. 98–101. Oxford University Press. [PDF]
Lawrence, N. D. Rowstron, A. I. T. Bishop, C. M. and Taylor, M. J. (2002)
Optimising synchronisation times for mobile devices
In Dietterich, T. G. Becker, S. and Ghahramani, Z. (Eds.), Advances in Neural Information Processing Systems, Volume 14, pp. 1401–1408. MIT Press. [Abstract] [PDF]
Corduneanu, A. and Bishop, C. M. (2001)
Variational Bayesian model selection for mixture distributions
In Richardson, T. and Jaakkola, T. (Eds.), Proceedings Eighth International Conference on Artificial Intelligence and Statistics, pp. 27–34. Morgan Kaufmann. [Abstract] [PDF]
Rowstron, A. I. T. Lawrence, N. D. and Bishop, C. M. (2001)
Probabilistic modelling of replica divergence
In HotOS 2001. [Abstract] [PDF]
Lerner, B. Clocksin, W. F. Dhanjal, S. Hulten, M. A. and Bishop, C. M. (2001a)
Feature representation for the automatic analysis of fluorescence in-situ hybridization images
IEEE Transactions on Systems, Man and Cybernetics A 31(6), 655–665. [Abstract] [PDF]
Lerner, B. Clocksin, W. F. Dhanjal, S. Hulten, M. A. and Bishop, C. M. (2001b)
Automatic signal classification in fluorescence in-situ hybridization images
Cytometry 43(2), 87–93. [Abstract] [PDF]
Bishop, C. M. and Winn, J. (2000)
Non-linear Bayesian image modelling
In Proceedings Sixth European Conference on Computer Vision, Dublin, Volume 1, pp. 3–17. Springer. [Abstract] [PDF]
Bishop, C. M. and Tipping, M. E. (2000a)
Variational relevance vector machines
In Boutilier, C. and Goldszmidt, M. (Eds.), Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, pp. 46–53. Morgan Kaufmann. [Abstract] [PDF]
Bishop, C. M. and Tipping, M. E. (2000b)
Variational relevance vector machines
In Nunez-Anton, V. and Ferreira, E. (Eds.), Proceedings 15th International Workshop on Statistical Modelling, Bilbao, Spain, pp. 1–17. Universidad del Pais Vasco. [Abstract]
Bishop, C. M. (1999)
Variational principal components
In Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99, Volume 1, pp. 509–514. IEE. [Abstract] [PDF]
Tipping, M. E. and Bishop, C. M. (1999a).
Mixtures of probabilistic principal component analyzers
Neural Computation 11(2), 443–482. [Abstract] [PDF]
Tipping, M. E. and Bishop, C. M. (1999b)
Probabilistic principal component analysis
Journal of the Royal Statistical Society, Series B 21(3), 611–622. [Abstract] [PDF]
Cornford, D. Nabney, I. T. and Bishop, C. M. (1999)
Neural network-based wind vector retrieval from satellite scatterometer data
Neural Computing and Applications 8, 206–217. [Abstract] [PDF]
McGrogan, N. Bishop, C. M. and Tarassenko, L. (1999)
Neural network training using multi-channel data with aggregate labelling
In Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99, Volume 2, pp. 862–867. IEE. [Abstract] [HTML]
Bishop, C. M. (1999a)
Pattern recognition and feedforward neural networks
In Wilson, R. A. and Keil, F. C. (Eds.), The MIT Encyclopaedia of the Cognitive Sciences, pp. 629–631. MIT Press. [PDF]
Bishop, C. M. (1999b)
Latent variable models
In Jordan, M. I. (Ed.), Learning in Graphical Models, pp. 371–403. MIT Press. [Abstract] [PDF]
Bishop, C. M. (1999c).
Bayesian PCA
In Kearns, M. S. Solla, S. A. and Cohn, D. A. (Eds.), Advances in Neural Information Processing Systems, Volume 11, pp. 382–388. MIT Press. [Abstract] [PDF]
Maass, W. and Bishop, C. M. (1998)
Pulsed Neural Networks
MIT Press. [Information about this book]
Bishop, C. M. (1998)
Neural Networks and Machine Learning
Springer. [Information about this book]
Bishop, C. M. and Tipping, M. E. (1998)
A hierarchical latent variable model for data visualization
IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 281–293. [Abstract] [PDF]
Bishop, C. M. Svensén, M. and Williams, C. K. I. (1998)
Developments of the Generative Topographic Mapping
Neurocomputing 21, 203–224. [Abstract] [PDF]
Lawrence, N. Bishop, C. M. and Jordan, M. (1998)
Mixture representations for inference and learning in Boltzmann machines
In Uncertainty in Artificial Intelligence, Volume 14, pp. 320–327. Morgan Kaufmann. [Abstract]
Bishop, C. M. Svensén, M. and Williams, C. K. I. (1998)
GTM: the Generative Topographic Mapping
Neural Computation 10(1), 215–234. [Abstract] [PDF]
Bishop, C. M. (1998)
Variational learning in graphical models and neural networks
In Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98, pp. 13–22. Springer. [Abstract] [PDF]
Barber, D. and Bishop, C. M. (1998)
Ensemble learning in Bayesian neural networks
In Bishop, C. M. (Ed.), Generalization in Neural Networks and Machine Learning, pp. 215–237. Springer. [Abstract] [PDF]
Goldberg, P. W. Williams, C. K. I. and Bishop, C. M. (1998)
Regression with input-dependent noise: A Gaussian process treatment
In Advances in Neural Information Processing Systems, Volume 10, pp. 493–499. MIT Press. [Abstract] [PDF]
Bishop, C. M. Lawrence, N. Jaakkola, T. and Jordan, M. I. (1998)
Approximating posterior distributions in belief networks using mixtures
In Advances in Neural Information Processing Systems, Volume 10, pp. 416–422. [Abstract] [PDF]
Barber, D. and Bishop, C. M. (1998)
Ensemble learning for multi-layer networks
In Jordan, M. I. Kearns, K. J. and Solla, S. A.(Eds.), Advances in Neural Information Processing Systems, Volume 10, pp. 395–401. [Abstract] [PDF]
Bishop, C. M. (1997)
Latent variables, topographic mappings and data visualization
In Marinaro, M. and Tagliaferri, R. (Eds.), Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno, pp. 1–32. Springer. [Abstract]
Barber, D. and Bishop, C. M. (1997)
On computing the KL divergence for Bayesian neural networks
Technical report, Neural Computing Research Group, Aston University, Birmingham, U.K.
Bishop, C. M. Svensén, M. and Williams, C. K. I. (1997)
GTM: a principled alternative to the Self-Organizing Map
In von der Malsburg, C. von Selen, W. Vorbruggen, J. C. and Sendhoff, B. (Eds.), International Conference on Artificial Neural Networks, ICANN'96, pp. 165–170. Springer. [Abstract]
Bishop, C. M. and Qazaz, C. S. (1997)
Bayesian inference of noise levels in regression
In Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany, pp. 59–64. Springer. [Abstract] [PDF]
Bishop, C. M. Hinton, G. E. and Strachan, I. G. D. (1997)
GTM through time
In Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K., pp. 111–116. [Abstract] [PDF]
Jordan, M. I. and Bishop, C. M. (1997)
Neural networks
In Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook, pp. 536–556. CRC Press. [PDF]
Bishop, C. M., Svensén, M. and Williams, C. K. I. (1997a)
Magnification factors for the GTM algorithm
In Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K., pp. 64–69. Institute of Electrical Engineers. [Abstract] [PDF]
Bishop, C. M. Svensén, M. and Williams, C. K. I. (1997b)
Magnification factors for the SOM and GTM algorithms
In Proceedings 1997 Workshop on Self-Organizing Maps, Helsinki University of Technology, Finland., pp. 333–338. [Abstract]
Tipping, M. E. and Bishop, C. M. (1997a)
Mixtures of principal component analysers
In Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K., July., pp. 13–18. London: IEE. [Abstract]
Tipping, M. E. and Bishop, C. M. (1997b)
Hierarchical models for data visualization
In Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K., pp. 70–75. [Abstract]
Bishop, C. M. and Tipping, M. E. (1997)
Latent variable models and data visualization
In Titterington, M. and Kay, J. (Eds.), Statistics and Neural Networks, pp. 147–164. Oxford University Press. [Abstract]
Bishop, C. M. (1997)
Bayesian neural networks
Journal of the Brazilian Computer Society 1(4), 61–68. Special issue on neural networks. [Abstract]
Qazaz, C. S. Williams, C. K. I and Bishop, C. M. (1997)
An upper bound on the Bayesian error bars for generalized linear regression
In Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications, pp. 295–299. Kluwer. [Abstract]
Bishop, C. M. and Nabney, I. T. (1997)
Modelling conditional probability densities for periodic variables
In Ellacott, S. W Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications, pp. 118–122. Kluwer. [Abstract]
Bishop, C. M. (1997)
Neural networks
In Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.). Fontana Press.
Bishop, C. M. and Qazaz, C. S (1997)
Regression with input-dependent noise: A Bayesian treatment
In Advances in Neural Information Processing Systems, Volume 9, pp. 347–353. MIT Press. [Abstract] [PDF]
Bishop, C. M. Svensén, M. and Williams, C. K. I. (1997)
GTM: a principled alternative to the Self-Organizing Map
In Mozer, M. C. Jordan, M. I. and Petche T. (Eds.) Advances in Neural Information Processing Systems, Volume 9, pp. 354–360. MIT Press. [Abstract] [PDF]
Barber, D. and Bishop, C. M. (1997)
Bayesian model comparison by Monte Carlo chaining
In Mozer, M. Jordan, M. and Petsche, T. (Eds.) Advances in Neural Information Processing Systems, Volume 9, pp. 333–339. MIT Press. [Abstract] [PDF]
Jordan, M. I. and Bishop, C. M. (1996)
Neural networks
ACM Computing Surveys 28(1), 73–75. [PDF]
Bishop, C. M. and Nabney, I. T. (1996)
Modelling conditional probability distributions for periodic variables
Neural Computation 8(5), 1123–1133. [Abstract]
Bishop, C. M. (1996a)
Neural networks: A pattern recognition perspective
In Fiesler, E. and Beale, R. (Eds.), Handbook of Neural Computation. Oxford University Press and IOP Publishing. [Abstract]
Bishop, C. M. (1996b)
Theoretical foundations of neural networks
In . Borcherds, P Bubak, M. and Maksymowicz, A.(Eds.), Proceedings of Physics Computing 96, Krakow, pp. 500–507. Academic Computer Centre. [Abstract]
Bishop, C. M. Svensén, M. and Williams, C. K. I. (1996)
EM optimization of latent variable density models
In Touretzky, D. S.M. Mozer, C. and Hasselmo, M. E. (Eds.), Advances in Neural Information Processing Systems, Volume 8, pp. 465–471. MIT Press. [Abstract] [PDF]
Bishop, C. M. (1995a)
Neural Networks for Pattern Recognition
Oxford University Press. [Abstract] [Information about this book]
Bishop, C. M. (1995b)
Training with noise is equivalent to Tikhonov regularization
Neural Computation 7(1), 108–116. [Abstract] [PDF]
Bishop, C. M., Haynes, P. S. Smith, M. E. U Todd, T. N. and Trotman, D. L. (1995)
Real-time control of a tokamak plasma using neural networks
Neural Computation 7, 206–217. [Abstract] [PDF]
Williams, C. K. I. Qazaz, C. Bishop, C. M. and Zhu, H. (1995)
On the relationship between Bayesian error bars and the input data density
In Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK, pp. 160–165. IEE. [Abstract]
Nabney, I. T. Bishop, C. M and Legleye, C. (1995)
Modelling conditional probability distributions for periodic variables
In Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK, pp. 177–182. IEE. [Abstract]
Bishop, C. M. (1995)
Bayesian methods for neural networks
Technical Report NCRG/95/009, Neural Computing Research Group, Aston University. [Abstract]
Bartlett, D. Bishop, C. M. Cahill, R. McLachlan, A. Porte, L. and Rookes, A.(1995)
Recent progress in the measurement and analysis of ece on jet
In Proceedings of the 9th International Workshop on ECE and ECRH. [Abstract]
Bishop, C. M. Haynes, P. S. Smith, M. E. U. Todd, T. N. and Trotman, D. L.(1995)
Real-time control of a tokamak plasma using a hardware neural network
In J. G. Taylor (Ed.), Neural Networks, Chapter 12, pp. 193–216. Alfred Waller. [Abstract]
Bishop, C. M. (1995a)
Regularization and complexity control in feed-forward networks
In Fougelman-Soulie, F.and Gallinari, P.(Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'95, Volume 1, pp. 141–148. EC2 et Cie. [Abstract]
Bishop, C. M. (1995b)
Multiphase flow monitoring in oil pipelines
In Murray, A. F. (Ed.), Applications of Neural Networks, Chapter 6, pp. 133–155. Kluwer.
Nabney, I. T. and Bishop, C. M. (1995)
Modelling conditional probability distributions for periodic variables
In Fougelman-Soulie, F. and Gallinari, P. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'95, Volume 2, Paris, pp. 209–214. EC2 et Cie. [Abstract]
Bishop, C. M. and Legleye, C. (1995)
Estimating conditional probability densities for periodic variables
In Tesauro, G Touretzky, D. S. and Leen, T. K. (Eds.), Advances in Neural Information Processing Systems, Volume 7, Cambridge MA, pp. 641–648. MIT Press. [Abstract] [PDF]
Bishop, C. M. Haynes, P. S. Smith, M. E. U. Todd,T. N. Trotman, D. L. and WindsoR, C. G. (1995)
Real-time control of a tokamak plasma using neural networks
In Tesauro, G. Touretzky, D. S. and Leen, T. K. (Eds.)Advances in Neural Information Processing Systems, Volume 7, Cambridge MA, pp. 1007–1014. MIT Press. [Abstract] [PDF]
Bishop, C. M. (1994a)
Mixture density networks
Technical Report NCRG/94/004, Neural Computing Research Group, Aston University. [Abstract] [PDF]
Bishop, C. M. (1994b)
Novelty detection and neural network validation
IEE Proceedings: Vision, Image and Signal Processing 141(4), 217–222. Special issue on applications of neural networks. [Abstract]
Bishop, C. M. Haynes, P. S. Smith, M. E. U. Todd, T. N.and Trotman, D. L. (1994)
Fast feedback control of a high temperature fusion plasma
Neural Computing and Applications 2(3), 148–159. [Abstract]
Bishop, C. M. (1994)
Neural networks and their applications
Review of Scientific Instruments 65(6), 1803–1832. [Abstract]
Deliyanakis, N. Bishop, C. M.Connor, J. W. Cox, M. and Robinson, D. C. (1994)
An investigation of coupled energy and particle transport in tokamak plasmas
Plasma Physics and Controlled Fusion 36(9), 1391–1406. [Abstract] [PDF]
Bishop, C. M. (1993)
Novelty detection and neural network validation
In Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93, pp. 789–794. [Abstract]
Bishop, C. M. Roach, C. M. and von Hellermann, M. G. (1993)
Automatic analysis of JET charge exchange recombination spectra using neural networks
Plasma Physics and Controlled Fusion 35, 765–773. [Abstract] [PDF]
Bishop, C. M. and James, G. D. (1993)
Analysis of multiphase flows using dual-energy gamma densitometry and neural networks
Nuclear Instruments and Methods in Physics Research A327, 580–593. [Abstract]
Bishop, C. M. (1993)
Curvature-driven smoothing: a learning algorithm for feedforward networks
IEEE Transactions on Neural Networks 4(5), 882–884. [Abstract] [PDF]
Bishop, C. M. Strachan, I. G. D. O'Rourke, J. Maddison, G. P. and Thomas, P. S. (1993)
Reconstruction of tokamak density profiles using feed-forward networks
Neural Computing and Applications 1(1), 4–16. [Abstract]
Bishop, C. M. (1993)
Neural network validation: an illustration from the monitoring of multi-phase flows
In Proceedings IEE Conference on Artificial Neural Networks, pp. 41–45. [Abstract]
Bishop, C. M. (1992)
Exact calculation of the Hessian matrix for the multilayer perceptron
Neural Computation 4(4), 494–501. [Abstract] [PDF]
Bishop, C. M. and Roach, C. M. (1992)
Fast curve fitting using neural networks
Review of Scientific Instruments 63(10), 4450–4456. [Abstract]
Allen, L. and Bishop, C. M. (1992)
Neural network approach to energy confinement scaling in tokamaks
Plasma Physics and Controlled Fusion 34(7), 1291–1302. [Abstract] [PDF]
Bishop, C. M. (1992)
Neural networks and their diagnostic applications
Review of Scientific Instruments 63(10), 4772–4774. [Abstract]
Bishop, C. M. Cox, P. Haynes, P. S. Roach, C. M. Smith, M. E. U. Todd, T. N. and Trotman, D. L. (1992)
A neural network approach to tokamak equilibrium control
In J. G. Taylor (Ed.), Neural Network Applications, pp. 114–128. Springer. [Abstract]
Bishop, C. M. (1992)
Curvature-driven smoothing in back-propagation neural networks
In Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks, pp. 139–148. Springer. [Abstract]
Bishop, C. M. Strachan, I. G. D. O'Rourke, J. Maddison, G. and Thomas, P. (1992)
Reconstruction of tokamak density profiles using feed-forward networks
In Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K., Volume 2, pp. 1207–1210. North Holland. [Abstract]
Bishop, C. M. Haynes, P.S. Roach, C. M. Smith, M. E. U. Todd, T. N. and Trotman, D. L. (1992)
Hardware implementation of a neural network for plasma position control in compass-d
In Fero, C. Gasparotto, M.and Knoepfel, K. (Eds.), Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy, Volume 2, pp. 997–1001. Elsevier Science Publishers.
Bishop, C. M. (1991a)
Improving the generalization properties of radial basis function neural networks
Neural Computation 3(4), 579–588. [Abstract]
Bishop, C. M. (1991b)
A fast procedure for retraining the multilayer perceptron
International Journal of Neural Systems 2(3), 229–236. [Abstract]
Bishop, C. M. (1991c)
Book review: Neural networks, an introduction by b. muller and j. reinhardt
springer Computer Physics Communications 67, 357–359.
Bishop, C. M. Connor, J. W. Cowley, S. C. and Hastie, R. J. (1991)
On the difficulty of determining tearing mode stability
Plasma Physics 33(4), 389–395. [PDF]
Bishop, C. M. (1990)
Curvature-driven smoothing in back-propagation neural networks
In Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90, Volume 2, pp. 749–752. IEEE. [Abstract]
Bishop, C. M. and Connor, J. W. (1990)
Heat-pulse propagation in Tokamaks and the role of density perturbations
Plasma Physics 32, 203. [Abstract] [PDF]
Bishop, C. M. Hastie, R. J. Sykes, A. and Wilson, H. R.(1990)
Ballooning delta-prime in the second stable region
Physics of Fluids B2, 3052.
Bishop, C. M. Connor, J. W. Cox, M. Deliyankis, N. and Robinson, D. C. (1990)
Investigation of coupled energy and particle transport
In Proceedings 17th European Physical Society on Controlled Fusion and Plasma Heating, Amsterdam, Volume 1, pp. 178.
Bishop, C. M. (1989)
An intelligent shell for the toroidal pinch
Plasma Physics 31, 1179. [Abstract] [PDF]
Briguglio, S. Bishop, C. M. Connor, J. W. Hastie, R. J. and Romanelli, F. (1989)
Stability of toroidicity induced drift waves in divertor Tokamaks
Physics of Fluids B1, 1449.
Bishop, C. M. Fitzpatrick, R. Hastie, R. J. and Jackson, J. C. (1989)
Alpha particle induced magnetoacoustic instability in a thermonuclear plasma
Plasma Physics 31, 431. [PDF]
O'Brien, D. P. Bishop, C. M. et al. (1989)
Ballooning stability analysis of JET H-mode discharges
In Proceedings 16th European Conference on Controlled Fusion and Plasma Physics, Venice, Volume 1, pp. 229.
Bishop, C. M. et al. (1989)
Density modulation during modulated ECRH in DITE
In Proceedings 16th European Conference on Controlled Fusion and Plasma Physics, Venice, Volume 3, pp. 1131.
Grassie, K. Bishop, C. M. Hastie, R. J. Hender, T. C. and Zehrfeld, H. P. (1988)
Resistive ballooning modes under plasma edge conditions
In Proceedings 15th European Conference on Controlled Fusion and Plasma Physics, Dubrovnik, Volume 1, pp. 366.
Maddison, G. P. Hastie, R. J. and Bishop, C. M. (1988)
Direct losses of alpha particles in spin polarised plasmas
In Proceedings 15th European Conference on Controlled Fusion and Plasma Physics, Dubrovnik, Volume 1, pp. 302.
Sykes, A. Bishop, C. M. and Hastie, R. J. (1987)
Resistive ballooning modes and the second region of stability
Plasma Physics 29, 719. [PDF]
Keilhacker, M. Bishop, C. M. Cordey, J. G. Muir, D. G. and Watkins, M. L. (1987)
H-mode confinement in JET
In Proceedings 14th European Conference on Controlled Fusion and Plasma Physics, Madrid, Volume 3, pp. 1339. JET Report JET-P(87)23.
Bishop, C. M. (1986a)
Bifurcated temperature profiles and the H-mode
Nuclear Fusion 27, 1765.
Bishop, C. M. (1986b)
Stability of localised MHD modes in divertor Tokamaks - a picture of the H-mode
Nuclear Fusion 26, 1063.
Bishop, C. M. and Taylor, J. B. (1986)
Degenerate toroidal MHD equilibria and minimum B
Physics of Fluids 29, 1444.
Tang, W. M. Bishop, C. M. et al. (1986)
Micro-instability based models for confinement properties and ignition criteria in tokamaks
In Proceedings 11th European Conference on Plasma Physics and Controlled Fusion Research, Kyoto, Volume 1, pp. 337. Princeton Report PPPL-2418.
Bishop, C. M. and Hastie, R. J. (1985)
Stability of anisotropic pressure Tokamak equilibria to ideal ballooning modes
Nuclear Fusion 25, 1443.
Bishop, C. M. and Taylor, J. B. (1985)
A special class of toroidal MHD equilibria including minimum-B
In Proceedings 12 European Conference on Controlled Fusion and Plasma Physics, Budapest, pp. 401–404.
Bishop, C. M. Kirby, P. Connor, J. W. Hastie, R. J.and Taylor, J. B. (1984)
Ideal MHD ballooning stability in the vicinity of a separatrix
Nuclear Fusion 24, 1579.
Bishop, C. M. and Swift, P. V. D.(1983)
Topological charge distribution in SU(N) gauge theories
Physics Letters 129B, 198.
Bishop, C. M. (1983)
The Semi-Classical Method in Field Theory
Ph. D. thesis, University of Edinburgh.
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