출판 Learning Bayesian Networks is NP-Complete David Maxwell Chickering Learning from Data: Artificial Intelligence and Statistics V | 글쓴이 Springer-Verlag | 1996
출판 Neural Networks: A Pattern Recognition Perspective Christopher Bishop Handbook of Neural Computation | 글쓴이 Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition
출판 Modelling conditional probability distributions for periodic variables Christopher Bishop, I. T. Nabney Neural Computation | January 1996, 제 8 권(5): pp. 1123-1133
출판 Neural Networks M. I. Jordan, Christopher Bishop ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition
출판 Learning Bayesian Networks is NP-Complete Max Chickering Learning from Data: Artificial Intelligence and Statistics V | January 1996
출판 Non-Stationary Hidden Markov Models for Speech Recognition Don X. Sun, Li Deng Image Models (and their Speech Model Cousins) | January 1996
출판 Trended HMM with discriminative training for phonetic classification C. Rathinavelu, Li Deng Proc. ICSLP | January 1996 Proc. ICSLP
출판 Efficient theta-subsumption based on graph algorithms Ralf Herbrich Lecture Notes in Artifical Intelligence | January 1996, 제 1314 권: pp. 212-228
출판 Probabilistic Independence Networks for Hidden Markov Probability Models Padhraic Smyth, David Heckerman, Michael I. Jordan MSR-TR-96-03 | January 1996
출판 EM optimization of latent variable density models Christopher Bishop, Markus Svensén, C. K. I. Williams Advances in Neural Information Processing Systems | January 1996