1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...
Abstract. Metagenomics is the study of microbial communities sampled directly from their natural environment, without prior culturing. Among the computational tools recently develo...
Current-based gate modeling achieves a new level of accuracy in nanoscale design timing and signal integrity analysis. However, to generate current-based gate models requires addi...
Recent developments in technology and access have offered the opportunity to improve online learning environments through increased communication, interactivity among participants...