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» Structured Learning with Approximate Inference

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BMCBI
2006

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SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms

13 years 7 months ago

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Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...

Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...

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IMC
2007
ACM

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Learning network structure from passive measurements

13 years 9 months ago

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The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...

Brian Eriksson, Paul Barford, Robert Nowak, Mark C...

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EMMCVPR
2005
Springer

143views Computer Vision» more EMMCVPR 2005»

Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study

14 years 28 days ago

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Abstract. Estimation of parameters of random ﬁeld models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...

Sanjiv Kumar, Jonas August, Martial Hebert

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NIPS
1998

117views Information Technology» more NIPS 1998»

Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models

13 years 8 months ago

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We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif

Thomas Briegel, Volker Tresp

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