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BMCBI
2008
123views more  BMCBI 2008»
14 years 10 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
BMCBI
2007
183views more  BMCBI 2007»
14 years 10 months ago
Considerations in the identification of functional RNA structural elements in genomic alignments
Background: Accurate identification of novel, functional noncoding (nc) RNA features in genome sequence has proven more difficult than for exons. Current algorithms identify and s...
Tomas Babak, Benjamin J. Blencowe, Timothy R. Hugh...
CPAIOR
2007
Springer
15 years 4 months ago
Modeling the Regular Constraint with Integer Programming
Many optimisation problems contain substructures involving constraints on sequences of decision variables. Such constraints can be very complex to express with mixed integer progra...
Marie-Claude Côté, Bernard Gendron, L...
JMLR
2012
13 years 13 days ago
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
ECAI
2000
Springer
15 years 1 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti