Charles Darwin - Evolution, Natural Selection, Species: England became quieter and more prosperous in the 1850s, and by mid-decade the professionals were taking over, instituting exams and establishing a meritocracy. The changing social composition of sc
NQ contains 307,372 training examples, 7,830 examples for development, and we withold a further 7,842 examples for testing. In the paper, we demonstrate a human upper bound of 87% F1 on the long answer selection task, and 76% on the short answer selection task. ...
This is consistent with an observed lack of explanations regarding how randomly occurring mutations provide the basis for variation (and thus natural selection). The findings imply, among other things, that some components of natural selection warrant far more attention in biology teaching and science...
One can test a model by whether it guides researchers, policy makers and practitioners to ask questions that lead to decisions that do, in fact, reduce risks. One can also test by observing whether qualitative vulnerability assessment tools based on the model have been applied in situa...
Chapter 1. The Basics It seems as though every day there are new and exciting problems that people have taught computers to solve, from how to win at chess or … - Selection from Natural Language Annotation for Machine Learning [Book]
This experiment employed an individual differences approach to test the hypothesis that learning modern programming languages resembles second “natural” language learning in adulthood. Behavioral and neural (resting-state EEG) indices of language aptit
Natural selection contributed to ancestry-associated differences in gene regulation Summary Individuals from different populations vary considerably in their susceptibility to immune-related diseases. To understand how genetic variation and natural selection contribute to these differences, we tested for the eff...
Test generation and selection are mechanised by refinement checking using the CSP tool FDR. Despite the fact that we work at a purely process algebraic level to define a test generation strategy, we are able to address model coverage criteria. Particularly, by using FDR, it is possible to ...
Automated Machine Learningwhich builds high quality machine learning models by automating model and hyperparameter selection. AutoML explores BERT, BiLSTM, bag-of-words, and word embeddings on the user's dataset to handle text columns. Tracking experiments and monitoring metricsto enhance the model cr...
Fig. 1: Overview of article selection process. Six databases (PubMed, Scopus, Web of Science, DBLP computer science bibliography, IEEE Xplore, and ACM Digital Library) were searched. The flowchart lists reasons for excluding the study from the data extraction and quality assessment. ...