C. Bishop

发表

Classification and regression

Christopher M. Bishop, C. Bishop, Christopher M. Bishop, 1997 .

Mixture density networks

C. Bishop, 1994 .

Analysis of multiphase flows using dual-energy gamma densitometry and neural networks

C. Bishop, G. James, 1993 .

Neural Networks and their Diagnostic Applications

Christopher M. Bishop, C. Bishop, 1992 .

Neural Network for Pattern Recognition

Christopher M. Bishop, Chris M. Bishop, C. M. Bishop, 1995 .

Pattern Recognition and Machine Learning

Nasser M. Nasrabadi, Radford M. Neal, Christopher M. Bishop, 2006, Technometrics.

An upper bound on the Bayesian error bars for generalized linear regression

Christopher K. I. Williams, C. Bishop, C. Qazaz, 1997 .

Neural networks and machine learning

Christopher M. Bishop, C. Bishop, 1998 .

Pattern Recognition and Machine Learning (Information Science and Statistics)

Christopher M. Bishop, C. Bishop, 2006 .

Multiphase flow monitoring in oil pipelines

Christopher M. Bishop, C. Bishop, 1995 .

Advances in Neural Information Processing Systems 8 (NIPS 1995)

Christopher M. Bishop, Christopher K. I. Williams, Markus Svensén, 1991 .

Pattern Recognition and Machine Learning, 2006

Christopher M. Bishop, 박원석, C. Bishop, 2012 .

Neural networks for pattern recognition

Christopher M. Bishop, C. Bishop, 1995 .

Magnification factors for the SOM and GTM algorithms

Christopher K. I. Williams, C. Bishop, M. Svensén, 1997 .

Neural network approach to energy confinement scaling in Tokamaks

C. Bishop, L. Allen, 1992 .

Neural networks: a pattern recognition perspective

Christopher M. Bishop, C. Bishop, 1996 .

Neural Networks and Their Applications

E. Clothiaux, C. Bishop, C.M. Bachmann, 1994 .

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics

Christopher Bishop, C. Bishop, 2003 .

Curvature-Driven Smoothing in Backpropagation Neural Networks

C. M. Bishop, C. Bishop, 1992 .

Regularization and complexity control in feed-forward networks

Christopher M. Bishop, C. Bishop, 1995 .

An intelligent shell for the toroidal pinch

C. Bishop, 1989 .

Novelty detection and neural network validation

Christopher M. Bishop, C. Bishop, 1994 .

Neural network training using multi-channel data with aggregate labelling

Lionel Tarassenko, Christopher M. Bishop, Nmcgrogan, 1999 .

Neural networks: A principled perspective

Christopher M. Bishop, C. Bishop, 1996 .

On the relationship between Bayesian error bars and the input data density

Christopher K. I. Williams, C. Bishop, Huaiyu Zhu, 1995 .

Learning in Graphical Models

Christopher M. Bishop, C. Bishop, 1999 .

A Neural Network Approach to Tokamak Equilibrium Control

Christopher M. Bishop, David L. Trotman, Mike E. U. Smith, 1992 .

Automatic analysis of JET charge exchange spectra using neural networks

C. Bishop, C. Roach, M. Hellermann, 1993 .

Proceedings of the 17th Symposium on Fusion Technology

C. Bishop, C. Roach, P. Haynes, 1992 .

Bayesian Statistics 8

A. P. Dawid, Julia Lasserre, Michael A. West, 2007 .

Hierarchical models for data visualization

Christopher M. Bishop, Michael E. Tipping, C. Bishop, 1997 .

The MIT Encyclopedia of the Cognitive Sciences

C. Bishop, 1999 .

Clumps, Clusters and Classification

C. Bishop, 2004 .

Fast curve fitting using neural networks

C. M. Roach, C. Bishop, C. Roach, 1992 .

Resistive ballooning modes and the second region of stability

C. Bishop, A. Sykes, R. Hastie, 1987 .

Latent variable models and data visualisation

Christopher M. Bishop, Michael E. Tipping, C. Bishop, 2000 .

Advances in Learning Theory: Methods, Models and Applications

Christopher M. Bishop, Michael E. Tipping, C. Bishop, 2003 .

On Computing the KL Divergence for Bayesian Neural Networks

David Barber, Christopher M. Bishop, C. Bishop, 1997 .

Proceedings 1997 Workshop on Self-Organizing Maps

Christopher M. Bishop, Christopher K. I. Williams, Markus Svensén, 1997 .

Advances in Neural Information Processing Systems 14

Neil D. Lawrence, Christopher M. Bishop, Michael J. Taylor, 2002 .

Discussion of `Bayesian Treed Generalized Linear Models' by H. A. Chipman, E. I. George and R. E. McCulloch

C. Bishop, Christopher M. Bishop, 2002 .

Ballooning Δ’ in the second stable region

C. Bishop, H. Wilson, A. Sykes, 1990 .

Stability of anisotropic-pressure tokamak equilibria to ideal ballooning modes

C. Bishop, R. Hastie, 1985 .

Stability of localized MHD modes in divertor tokamaks – a picture of the H-mode

C. Bishop, 1986 .

Proceedings 16th European Conference on Controlled Fusion and Plasma Physics

Christopher M. Bishop, D. P. O'Brien, R. Galvao, 1989 .

Advances in Neural Information Processing Systems 15 (NIPS 2002)

David J. Spiegelhalter, Christopher M. Bishop, John Winn, 2002 .

Microinstability-based models for confinement properties and ignition criteria in tokamaks

C. Bishop, B. Coppi, G. Rewoldt, 1987 .

Bifurcated temperature profiles and the H-mode

C. Bishop, 1987 .

Pattern Recognition and Feed-forward Networks

Christopher M. Bishop, C. Bishop, 2004 .

Machines that learn

Christopher M. Bishop, C. Bishop, 2005 .

On-Line Learning in Neural Networks: Foreword

Christopher M. Bishop, C. Bishop, 1999 .

Real-time control of a tokamak plasma using a hardware neural network

Christopher M. Bishop, David L. Trotman, Mike E. U. Smith, 1995 .

An Introduction to Graphical Models

Michael I. Jordan, Christopher M. Bishop, C. Bishop, 2001 .

Neural network approach to energy confinement scaling in Tokamaks

C. Bishop, L. Allen, 1992 .

On the difficulty of determining tearing mode stability

C. Bishop, J. Connor, S. Cowley, 1991 .

An intelligent shell for the toroidal pinch

C. Bishop, 1989 .

animals and estimation of biomechanical power Interpretation of body-mounted accelerometry in flying

R. J. Spivey, C. Bishop, 2014 .

Generalization in Neural Networks and Machine Learning

Christopher M. Bishop, C. Bishop, 2001 .

Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD)

Qing Xu, Markus Svensén, Steve Hanks, 2011 .

Proceedings Ninth International Conference on Artificial Intelligence and Statistics 2003

Andrew Blake, Bhaskara Marthi, Christopher M. Bishop, 2003 .

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence

Christopher M. Bishop, Markus Svenskn, C. Bishop, 2003 .

Proceedings Eighth International Conference on Artificial Intelligence and Statistics

Adrian Corduneanu, Christopher M. Bishop, C. Bishop, 2001 .

Recent Progress in the Measurement and Analysis of ECE on JET

Christopher M. Bishop, D. V. Bartlett, A McLachlan, 1995 .

Proceedings International Conference on Artificial Neural Networks ICANN'95

Christopher M. Bishop, C. Bishop, Christopher M. Bishop, 1995 .

Automatic analysis of JET charge exchange spectra using neural networks

C. Bishop, C. Roach, M. Hellermann, 1993 .

Neural Networks for Pattern Recognition.@@@Pattern Recognition and Neural Networks.

B. D. Ripley, Nicholas Lange, B. Ripley, 1997 .

Stability of toroidicity-induced drift waves in divertor tokamaks

C. Bishop, J. Connor, S. Briguglio, 1989 .

Nonequilibrium Ionization in a High‐Pressure Cesium‐Helium Transient Discharge

C. Bishop, D. J. BenDaniel, C. M. Bishop, 1963 .

Modeling Conditional Probability Distributions for Periodic Variables

Christopher M. Bishop, Ian T. Nabney, I. Nabney, 1996, Neural Computation.

Modelling conditional probability distributions for periodic variables

Christopher M. Bishop, Ian T. Nabney, C. Legleye, 1995 .

Interpretation of body-mounted accelerometry in flying animals and estimation of biomechanical power

R. J. Spivey, C. M. Bishop, C. Bishop, 2013, Journal of The Royal Society Interface.

Resistive ballooning modes and the second region of stability

C. Bishop, A. Sykes, R. Hastie, 1987 .

Ideal MHD ballooning stability in the vicinity of a separatrix

C. Bishop, J. Connor, R. Hastie, 1984 .

Advances in Neural Information Processing Systems 9 (NIPS 1996)

C. Bishop, D. Barber, 1997 .

Advances in Neural Information Processing Systems 14

Koby Crammer, Yoram Singer, Y. Singer, 2002 .

Pattern Recognition and Machine Learning (Information Science and Statistics)

C. Bishop, Christopher M. Bishop, C. M. Bishop, 2006 .

Improvements on Twin Support Vector Machines

C. M. Bishop, C. Bishop, 2011 .

Latent Variables, Topographic Mappings and Data Visualization

Christopher M. Bishop, C. Bishop, 1998 .

Advances in Neural Information Processing Systems 15 (NIPS 2002)

Christopher K. I. Williams, Moray Allan, D. Spiegelhalter, 2002 .

The MIT Encyclopedia of the Cognitive Sciences

C. Bishop, 1999 .

Degenerate toroidal magnetohydrodynamic equilibria and minimum B

J. B. Taylor, C. Bishop, J. Taylor, 1986 .

An Investigation of Coupled Energy and Particle Transport

C. Bishop, J. Connor, D. Robinson, 1994 .