Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
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Christopher Joseph Pal | Andrew McCallum | Gregory Druck | Xuerui Wang | C. Pal | A. McCallum | Xuerui Wang | Gregory Druck
[1] J. Besag. Statistical Analysis of Non-Lattice Data , 1975 .
[2] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[3] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[4] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[5] G. Kane. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .
[6] Adam L. Berger,et al. A Maximum Entropy Approach to Natural Language Processing , 1996, CL.
[7] Alex Pentland,et al. Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm , 1998, NIPS.
[8] Alex Pentland,et al. On Reversing Jensen's Inequality , 2000, NIPS.
[9] Brendan J. Frey,et al. Factor graphs and the sum-product algorithm , 2001, IEEE Trans. Inf. Theory.
[10] Michael I. Jordan,et al. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes , 2001, NIPS.
[11] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[12] X. Jin. Factor graphs and the Sum-Product Algorithm , 2002 .
[13] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[14] David M. Pennock,et al. Mixtures of Conditional Maximum Entropy Models , 2003, ICML.
[15] Rajat Raina,et al. Classification with Hybrid Generative/Discriminative Models , 2003, NIPS.
[16] Adrian Corduneanu,et al. On Information Regularization , 2002, UAI.
[17] Zoubin Ghahramani,et al. Optimization with EM and Expectation-Conjugate-Gradient , 2003, ICML.
[18] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[19] Geoffrey E. Hinton,et al. Exponential Family Harmoniums with an Application to Information Retrieval , 2004, NIPS.
[20] Nando de Freitas,et al. An Introduction to MCMC for Machine Learning , 2004, Machine Learning.
[21] Trevor Darrell,et al. Conditional Random Fields for Object Recognition , 2004, NIPS.
[22] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[23] Andrew McCallum,et al. A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance , 2005, UAI.
[24] T. Minka. Discriminative models, not discriminative training , 2005 .
[25] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[26] Rong Yan,et al. Mining Associated Text and Images with Dual-Wing Harmoniums , 2005, UAI.
[27] Ben Taskar,et al. An Introduction to Conditional Random Fields for Relational Learning , 2007 .
[28] Andrew McCallum,et al. An Introduction to Conditional Random Fields for Relational Learning , 2007 .