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» Evolutionary Computation for Modeling and Optimization
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WSC
2001
15 years 8 months ago
Monte Carlo simulation approach to stochastic programming
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
Alexander Shapiro
NIPS
1998
15 years 8 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland
BMCBI
2010
176views more  BMCBI 2010»
15 years 7 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
BMCBI
2010
112views more  BMCBI 2010»
15 years 7 months ago
A parameter-adaptive dynamic programming approach for inferring cophylogenies
Background: Coevolutionary systems like hosts and their parasites are commonly used model systems for evolutionary studies. Inferring the coevolutionary history based on given phy...
Daniel Merkle, Martin Middendorf, Nicolas Wieseke
BMCBI
2007
179views more  BMCBI 2007»
15 years 7 months ago
rMotifGen: random motif generator for DNA and protein sequences
Background: Detection of short, subtle conserved motif regions within a set of related DNA or amino acid sequences can lead to discoveries about important regulatory domains such ...
Eric C. Rouchka, C. Timothy Hardin