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HPDC
2010
IEEE
15 years 3 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...
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 3 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»
15 years 2 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
15 years 2 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»
15 years 2 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...