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» A graphical model for predicting protein molecular function
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BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
Gene models from ESTs (GeneModelEST): an application on the Solanum lycopersicum genome
Background: The structure annotation of a genome is based either on ab initio methodologies or on similaritiy searches versus molecules that have been already annotated. Ab initio...
Nunzio D'Agostino, Alessandra Traini, Luigi Frusci...
BMCBI
2010
97views more  BMCBI 2010»
13 years 8 months ago
Dual-functioning transcription factors in the developmental gene network of Drosophila melanogaster
Background: Quantitative models for transcriptional regulation have shown great promise for advancing our understanding of the biological mechanisms underlying gene regulation. Ho...
Denis C. Bauer, Fabian A. Buske, Timothy L. Bailey
BMCBI
2010
178views more  BMCBI 2010»
13 years 8 months ago
Applications of a formal approach to decipher discrete genetic networks
Background: A growing demand for tools to assist the building and analysis of biological networks exists in systems biology. We argue that the use of a formal approach is relevant...
Fabien Corblin, Eric Fanchon, Laurent Trilling
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 6 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
AAAI
2012
11 years 10 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti