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BMCBI
2010
185views more  BMCBI 2010»
15 years 1 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
BMCBI
2004
124views more  BMCBI 2004»
15 years 6 months ago
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet)
Background: DopaNet http://www.dopanet.org is a Systems Biology initiative that aims to investigate precisely and quantitatively all the aspects of neurotransmission in a specific...
Nicolas Le Novère, Marco Donizelli
ICSE
1999
IEEE-ACM
15 years 11 months ago
Lightweight Extraction of Object Models from Bytecode
A program’s object model captures the essence of its design. For some programs, no object model was developed during design; for others, an object model exists but may be out-of...
Daniel Jackson, Allison Waingold
AAAI
2012
13 years 9 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
ICML
2005
IEEE
16 years 7 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...