Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
Publication Date
2007
Journal or Book Title
JOURNAL OF MACHINE LEARNING RESEARCH
Pages
693-723
Volume
8
Recommended Citation
Sutton, C; McCallum, A; and Rohanimanesh, K, "Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data" (2007). JOURNAL OF MACHINE LEARNING RESEARCH. 901.
Retrieved from https://scholarworks.umass.edu/cs_faculty_pubs/901
COinS