Dynamic Bayesian Multinets
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[1] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[2] Amir Dembo,et al. A minimum discrimination information approach for hidden Markov modeling , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[3] David Heckerman,et al. Probabilistic similarity networks , 1991, Networks.
[4] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[5] Hong C. Leung,et al. PhoneBook: a phonetically-rich isolated-word telephone-speech database , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[6] David Maxwell Chickering,et al. Learning Bayesian networks: The combination of knowledge and statistical data , 1995, Mach. Learn..
[7] Wray L. Buntine. A Guide to the Literature on Learning Probabilistic Networks from Data , 1996, IEEE Trans. Knowl. Data Eng..
[8] Mehran Sahami,et al. Learning Limited Dependence Bayesian Classifiers , 1996, KDD.
[9] David Heckerman,et al. Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets , 1996, Artif. Intell..
[10] Biing-Hwang Juang,et al. Minimum classification error rate methods for speech recognition , 1997, IEEE Trans. Speech Audio Process..
[11] Geoffrey Zweig,et al. Speech Recognition with Dynamic Bayesian Networks , 1998, AAAI/IAAI.
[12] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[13] Nir Friedman,et al. The Bayesian Structural EM Algorithm , 1998, UAI.
[14] Kevin P. Murphy,et al. Learning the Structure of Dynamic Probabilistic Networks , 1998, UAI.
[15] Michael I. Jordan. Graphical Models , 1998 .
[16] Paul J. Krause,et al. Learning probabilistic networks , 1999, The Knowledge Engineering Review.
[17] Jeff A. Bilmes,et al. Natural statistical models for automatic speech recognition , 1999 .
[18] Jeff A. Bilmes,et al. Buried Markov models for speech recognition , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[19] Nir Friedman,et al. Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm , 1999, UAI.
[20] Xavier Boyen,et al. Discovering the Hidden Structure of Complex Dynamic Systems , 1999, UAI.
[21] Michael I. Jordan,et al. Learning with Mixtures of Trees , 2001, J. Mach. Learn. Res..
[22] David R. Anderson,et al. Model selection and inference : a practical information-theoretic approach , 2000 .
[23] S. Haykin,et al. Pattern Recognition Using a Family of Design Algorithms Based upon the Generalized Probabilistic Descent Method , 2001 .