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CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 6 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 6 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
BMCBI
2010
153views more  BMCBI 2010»
13 years 11 months ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard
WEBI
2005
Springer
14 years 4 months ago
A MAS Approach to Fusion of Heterogeneous Information
Distributed Perception Networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering c...
Gregor Pavlin, Patrick de Oude, Jan Nunnink
CCS
2009
ACM
14 years 3 months ago
The bayesian traffic analysis of mix networks
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Carmela Troncoso, George Danezis