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The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell gen...
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...
Leon Festinger's theory of cognitive dissonance has been widely recognized for its important and influential concepts in areas of motivation and social psychology. The theory of...
This paper describes a number of applications of the 'k-means', a procedure for classifying a random sample of points in E sub N. The procedure consists of starting with k group...
Journal Article An Evolutionary Theory of Economic Change Get access An Evolutionary Theory of Economic Change. By Richard R. Nelson and Sidney G. Winter. (Cambridge, Massachuse...
Abstract SUMMARY: The program MODELTEST uses log likelihood scores to establish the model of DNA evolution that best fits the data. AVAILABILITY: The MODELTEST package, includin...
El año 2020 ha sido sin duda uno que recordaremos como el más desafiante para nuestra generación, si se le observa desde una perspectiva global. Fue el año en que el mundo se co...
Abstract The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, ...
The book is comprised of 15 chapters that discuss various topics about optics, such as geometrical theories, image forming instruments, and optics of metals and crystals. The te...
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running tim...
PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasona...