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IDA
2006
Springer
15 years 4 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan
JMLR
2002
138views more  JMLR 2002»
15 years 4 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
DATAMINE
2006
83views more  DATAMINE 2006»
15 years 4 months ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan
119
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ECSQARU
2001
Springer
15 years 9 months ago
Supporting Changes in Structure in Causal Model Construction
The term “changes in structure,” originating from work in econometrics, refers to structural modifications invoked by actions on a causal model. In this paper we formalize the...
Tsai-Ching Lu, Marek J. Druzdzel
CHI
1996
ACM
15 years 8 months ago
Structuring Information with Mental Models: A Tour of Boston
We present a new systematic method of structuring information using mental models. This method can be used both to evaluate the efficiency of an information structure and to build...
Ishantha Lokuge, Stephen A. Gilbert, Whitman Richa...