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JMLR
2010
159views more  JMLR 2010»
15 years 1 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
JMLR
2010
97views more  JMLR 2010»
15 years 1 months ago
Evaluation of a Bayesian model-based approach in GA studies
In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
Gábor Hullám, Peter Antal, Csaba Sza...
ICASSP
2011
IEEE
14 years 10 months ago
MCMC inference of the shape and variability of time-response signals
Signals in response to time-localized events of a common phenomenon tend to exhibit a common shape, but with variable time scale, amplitude, and delay across trials in many domain...
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ale...
CISISSPAIN
2011
14 years 10 months ago
Testing Ensembles for Intrusion Detection: On the Identification of Mutated Network Scans
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...
Silvia González, Javier Sedano, Álva...
CORR
2011
Springer
168views Education» more  CORR 2011»
14 years 10 months ago
Robustness and modular structure in networks
Many complex systems, from power grids and the internet, to the brain and society, can be modeled using modular networks. Modules, densely interconnected groups of elements, often...
James P. Bagrow, Sune Lehmann, Yong-Yeol Ahn