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173
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DNA
2007
Springer
176views Bioinformatics» more  DNA 2007»
15 years 10 months ago
Asynchronous Spiking Neural P Systems: Decidability and Undecidability
In search for “realistic” bio-inspired computing models, we consider asynchronous spiking neural P systems, in the hope to get a class of computing devices with decidable prope...
Matteo Cavaliere, Ömer Egecioglu, Oscar H. Ib...
ICCS
2001
Springer
15 years 8 months ago
High-Performance Algorithm Engineering for Computational Phylogenetics
Abstract. Phylogeny reconstruction from molecular data poses complex optimization problems: almost all optimization models are NP-hard and thus computationally intractable. Yet app...
Bernard M. E. Moret, David A. Bader, Tandy Warnow
132
Voted
BMCBI
2008
153views more  BMCBI 2008»
15 years 3 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
FCCM
2009
IEEE
147views VLSI» more  FCCM 2009»
15 years 7 months ago
FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
David Thomas, Wayne Luk
CCGRID
2006
IEEE
15 years 9 months ago
Adapting Distributed Shared Memory Applications in Diverse Environments
A problem with running distributed shared memory applications in heterogeneous environments is that making optimal use of available resources often requires significant changes t...
Daniel Potts, Ihor Kuz