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Charles A. Sutton, Khashayar Rohanimanesh, Andrew McCallum : Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML 2004
Charles A. Sutton, Andrew McCallum, Khashayar Rohanimanesh : Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. Journal of Machine Learning Research (JMLR) 8():693-723 (2007)
Shing-Kit Chan, Wai Lam : Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data. ICDM 2010
Andrew McCallum, Kedar Bellare, Fernando C. N. Pereira : A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance CoRR abs/1207.1406(): (2012)
Andrew McCallum, Kedar Bellare, Fernando C. N. Pereira : A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. UAI 2005
John D. Lafferty, Xiaojin Zhu, Yan Liu 0002 : Kernel conditional random fields: representation and clique selection. ICML 2004
Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huang, Lide Wu : Sparse higher order conditional random fields for improved sequence labeling. ICML 2009
Charles A. Sutton, Andrew McCallum : Piecewise pseudolikelihood for efficient training of conditional random fields. ICML 2007
Qi-Xing Huang, Mei Han, Bo Wu, Sergey Ioffe : A hierarchical conditional random field model for labeling and segmenting images of street scenes. CVPR 2011
Pradeep D. Ravikumar, John D. Lafferty : Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. ICML 2006
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