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ICML
2007
IEEE
16 years 5 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
CANDC
2004
ACM
15 years 4 months ago
The difficult interpretation of transcriptome data: the case of the GATC regulatory network
Genomic analyses on part of Escherichia coli's chromosome had suggested the existence of a GATC regulated network. This has recently been confirmed through a transcriptome an...
Alessandra Riva, Marie-Odile Delorme, Tony Chevali...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
15 years 4 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
ICC
2009
IEEE
118views Communications» more  ICC 2009»
15 years 11 months ago
A First Order Logic Security Verification Model for SIP
: It is well known that no security mechanism can provide full protection against a potential attack. There is always a possibility that a security incident may happen, mainly as a...
Dimitris Geneiatakis, Costas Lambrinoudakis, Georg...
AAAI
2008
15 years 6 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan