Abstract Dimensionality reduction is a common tool for visualization and inference of population structure from genotypes, but popular methods either return too many dimensions easy plotting (PCA) or fail to preserve global geometry (t-SNE UMAP). Here we explore the utility variational autoencoders (VAEs)—generative machine learning models in which pair neural networks seek first compress then ...

this paper addresses the issue of the relationship between the type of organizational / economic structure and organizational entrepreneurship in small- and- medium- sized enterprises (smes). it further provides discussions on mechanical/organic structures as well as organizational entrepreneurship and knowledge structure. in another section, the methodology of the research includes hypotheses,...