Over recent years the field of phylogenetics has witnessed significant algorithmic and technical progress. A new class of efficient phylogeny programs allows for computation of l...
Adam Arvelakis, Martin Reczko, Alexandros Stamatak...
The field of bioinformatics is witnessing a rapid and overwhelming accumulation of molecular sequence data, predominantly driven by novel wet-lab sequencing techniques. This trend...
Andre J. Aberer, Nicholas D. Pattengale, Alexandro...
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...