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IJON
2011
169views more  IJON 2011»
15 years 1 months ago
Exploiting local structure in Boltzmann machines
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
Hannes Schulz, Andreas Müller 0004, Sven Behn...
ACL
2012
13 years 8 months ago
Unsupervised Semantic Role Induction with Global Role Ordering
We propose a probabilistic generative model for unsupervised semantic role induction, which integrates local role assignment decisions and a global role ordering decision in a uni...
Nikhil Garg, James Henserdon
CORR
2008
Springer
74views Education» more  CORR 2008»
15 years 6 months ago
On the random satisfiable process
In this work we suggest a new model for generating random satisfiable k-CNF formulas. To generate such formulas
Michael Krivelevich, Benny Sudakov, Dan Vilenchik
RECOMB
2005
Springer
15 years 11 months ago
Probabilistic in Silico Prediction of Protein-Peptide Interactions
Abstract. Peptide recognition modules (PRMs) are specialised compact protein domains that mediate many important protein-protein interactions. They are responsible for the assembly...
Wolfgang P. Lehrach, Dirk Husmeier, Christopher K....
TASLP
2008
115views more  TASLP 2008»
15 years 6 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals