Investigating the parameter space of evolutionary algorithms [PDF]
BioData Mining, 2018 Evolutionary computation (EC) has been widely applied to biological and biomedical data. The practice of EC involves the tuning of many parameters, such as population size, generation count, selection size, and crossover and mutation rates.
Moshe Sipper +3 more
doaj +9 more sources
Parameter space of baryogenesis in the νMSM [PDF]
Journal of High Energy Physics, 2019 The Standard Model accompanied with two right-handed neutrinos with masses below the weak scale can explain the observed baryon asymmetry of the Universe.
S. Eijima +2 more
doaj +7 more sources
Expanding the parameter space of anodal transcranial direct current stimulation of the primary motor cortex. [PDF]
Sci Rep, 2019 Size and duration of the neuroplastic effects of tDCS depend on stimulation parameters, including stimulation duration and intensity of current. The impact of stimulation parameters on physiological effects is partially non-linear. To improve the utility
Agboada D +4 more
europepmc +2 more sources
Gene flow analysis method, the D-statistic, is robust in a wide parameter space. [PDF]
BMC Bioinformatics, 2018 We evaluated the sensitivity of the D-statistic, a parsimony-like method widely used to detect gene flow between closely related species. This method has been applied to a variety of taxa with a wide range of divergence times.
Zheng Y, Janke A.
europepmc +2 more sources
Parameter Space of Atomic Layer Deposition of Ultrathin Oxides on Graphene. [PDF]
ACS Appl Mater Interfaces, 2016 Atomic layer deposition (ALD) of ultrathin aluminum oxide (AlOx) films was systematically studied on supported chemical vapor deposition (CVD) graphene.
Aria AI +6 more
europepmc +2 more sources
Acoustic omni meta-atom for decoupled access to all octants of a wave parameter space. [PDF]
Nat Commun, 2016 The common behaviour of a wave is determined by wave parameters of its medium, which are generally associated with the characteristic oscillations of its corresponding elementary particles.
Koo S, Cho C, Jeong JH, Park N.
europepmc +3 more sources
Combinatorial representation of parameter space for switching networks. [PDF]
SIAM J Appl Dyn Syst, 2016 We describe the theoretical and computational framework for the Dynamic Signatures for Genetic Regulatory Network ( DSGRN) database. The motivation stems from urgent need to understand the global dynamics of biologically relevant signal transduction/gene
Cummins B +4 more
europepmc +2 more sources
Correction to: Investigating the parameter space of evolutionary algorithms [PDF]
BioData Mining, 2019 Following publication of the original article [1], an error was reported in one of the experiments.
Moshe Sipper +3 more
doaj +2 more sources
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning [PDF]
IEEE International Conference on Computer Vision, 2023 Diffusion models have achieved remarkable success in text-to-image generation, enabling the creation of high-quality images from text prompts or other modalities.
Ligong Han +5 more
semanticscholar +1 more source
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction [PDF]
AAAI Conference on Artificial Intelligence, 2023 Segment Anything Model (SAM) has received remarkable attention as it offers a powerful and versatile solution for object segmentation in images. However, fine-tuning SAM for downstream segmentation tasks under different scenarios remains a challenge, as ...
Zelin Peng +4 more
semanticscholar +1 more source