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199
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IDA
2006
Springer
15 years 6 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
133
Voted
JMLR
2010
112views more  JMLR 2010»
15 years 27 days ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ATAL
2009
Springer
16 years 21 days ago
Generalization risk minimization in empirical game models
Experimental analysis of agent strategies in multiagent systems presents a tradeoff between granularity and statistical confidence. Collecting a large amount of data about each s...
Patrick R. Jordan, Michael P. Wellman
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
15 years 11 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
160
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CAAN
2004
Springer
15 years 11 months ago
Bipartite Graphs as Models of Complex Networks
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
Jean-Loup Guillaume, Matthieu Latapy