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HPDC
2010
IEEE
14 years 10 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
84
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GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
14 years 10 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
High-throughput bioinformatics with the Cyrille2 pipeline system
Background: Modern omics research involves the application of high-throughput technologies that generate vast volumes of data. These data need to be pre-processed, analyzed and in...
Mark W. E. J. Fiers, Ate van der Burgt, Erwin Date...
ISI
2006
Springer
14 years 9 months ago
Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading
An intelligence analyst often needs to keep track of more facts than can be held in human memory. As a result, analysts use a notebook or evidence file to record facts learned so f...
Eric A. Bier, Edward W. Ishak, Ed Chi
JAIR
2006
157views more  JAIR 2006»
14 years 9 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...