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Data from: Upload any object and evolve it: injecting complex geometric patterns into CPPNs for further evolution
负责人:
关键词:
Interactive evolutionary computation
DOI:
doi:10.5061/dryad.4qk42
摘要:
ng from 3D printers. Previous work has shown that an evolutionary algorithm with a generative encoding based on developmental biology-a compositional
Data from: Stochastic character mapping of state-dependent diversification reveals the tempo of evolutionary decline in self-compatible Onagraceae
负责人:
关键词:
Onagraceae
DOI:
doi:10.5061/dryad.9jj428f
摘要:
A major goal of evolutionary biology is to identify key evolutionary transitions that correspond with shifts in speciation and extincti
Data from: The effect of close relatives on unsupervised Bayesian clustering algorithms in population genetic structure analysis
负责人:
关键词:
close relatives;STRUCTURE software;family structure;subpopulation;molecular markers
DOI:
doi:10.5061/dryad.668tn571
摘要:
on biology and evolutionary biology. Recently, unsupervised Bayesian clustering algorithms have been developed to detect a hidden population structure from genotypic data, assuming amo
Data from: Mutation rules and the evolution of sparseness and modularity in biological systems
负责人:
关键词:
evolutionary simulations;genetic algorithms;Biological Networks
DOI:
doi:10.5061/dryad.75180
摘要:
ther than on connection cost or variations in the goal. We use simulations of evolution with different mutation rules. We found that commonly used sum
Data from: A stochastic rate-calibrated method for time-scaling phylogenies of fossil taxa
负责人:
关键词:
comparative method;node dating;Cladistics;divergence times;fossil record;Simulation;Macroevolution;phylogenetics;time-scaling
DOI:
doi:10.5061/dryad.vk7t0
摘要:
1.) Applying phylogeny-based analyses of trait evolution and diversification in the fossil record generally involves transforming an unscal
Data from: Inference of adaptive shifts for multivariate correlated traits
负责人:
关键词:
Change-point detection;adaptive evolution;Ornstein-Uhlenbeck;PhylogeneticEM;model selection;phylogeny
DOI:
doi:10.5061/dryad.60t0f
摘要:
might exist because of structural or evolutionary constraints. We show that, in the presence shifts, phylogenetic Principal Component Analysis (pPCA
Data from: Efficient detection of repeating sites to accelerate phylogenetic likelihood calculations
负责人:
关键词:
Algorithms;maximum likelihood;phylogenetics;phylogenetic likelihood function
DOI:
doi:10.5061/dryad.8f0c8
摘要:
The phylogenetic likelihood function is the major computational bottleneck in several applications of evolutionary biology suc
Data from: Bees explain floral variation in a recent radiation of Linaria
负责人:
关键词:
flower shape;pollination niches;Quaternary;nectar spurs;evolutionary radiation;Linaria;long-tongued bees;discriminant-function analysis;Geometric morphometrics
DOI:
doi:10.5061/dryad.p25m0
摘要:
The role of pollinators in floral divergence has long attracted the attention of evolutionary biologists. Although abundant studies have reported
Data from: Phylogenetic comparative methods on phylogenetic networks with reticulations
负责人:
关键词:
phylogenetic comparative methods;PhyloNetworks;Xiphophorus;phylogenetic networks;Transgressive Evolution;heterosis
DOI:
doi:10.5061/dryad.nt2g6
摘要:
tests for ancestral transgressive evolution in the evolutionary history of a group of species. We study the power of these tests in several scenarios, and show that rec
Data from: Neural modularity helps organisms evolve to learn new skills without forgetting old
负责人:
关键词:
catastrophic forgetting evolutionary algorithm artificial neural network neural modularity
DOI:
doi:10.5061/dryad.s38n5
摘要:
, a problem called catastrophic forgetting. That occurs because, to learn the new task, neural learning algorithms change connections that encode pr

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