Christopher M. Bishop
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Christopher M. Bishop is a person.
References
- Professional Homepage: http://research.microsoft.com/en-us/um/people/cmbishop/
- DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/b/Bishop:Christopher_M=.html
- Google Scholar Author Page: http://scholar.google.com/citations?user=gsr-K3ADUvAC
2007
- (Bishop & Lasserre, 2007) ⇒ Christopher M. Bishop, and Julia Lasserre. (2007). “Generative Or Discriminative? Getting the Best of Both Worlds.” In: Bayesian Statistics, 8.
2006
- (Bishop, 2006) ⇒ Christopher M. Bishop. (2006). “Pattern Recognition and Machine Learning." Springer. ISBN:0387310738
- (Lasserre et al., 2006) ⇒ Julia A. Lasserre, Christopher M. Bishop, and Thomas P. Minka. (2006). “Principled Hybrids of Generative and Discriminative Models.” In: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. doi:10.1109/CVPR.2006.227
2004
- (Bishop, 2004) ⇒ Christopher M. Bishop. (2004). “Recent Advances in Bayesian Inference Techniques." Keynote Presentation at SIAM Conference on Data Mining.
1999
- (Tipping & Bishop, 1999) ⇒ Michael E. Tipping, and Christopher M. Bishop. (1999). “Probabilistic Principal Component Analysis.” In: Journal of the Royal Statistical Society, 61(3).
1998
- (Barber & Bishop, 1998) ⇒ David Barber, and Christopher M. Bishop. (1998). “Ensemble Learning in Bayesian Neural Networks.” In: Christopher M. Bishop (editor), "Generalization in Neural Networks and Machine Learning." Springer. ISBN:354064928X
1995
- (Bishop, 1995) ⇒ Christopher M. Bishop. (1995). “Neural Networks for Pattern Recognition.” Oxford University Press.
1994
- (Bishop, 1994a) ⇒ Christopher M. Bishop. (1994). “Novelty Detection and Neural Network Validation.” In: Proceedings of the IEEE Conference on Vision, Image and Signal Processing.
- (Bishop, 1994b) ⇒ Christopher M. Bishop. (1994). “Mixture Density Networks." Technical Report. Aston University, Birmingham.