J Wang, C Jiang, H Zhang, Y Ren… - arXiv preprint arXiv …, 2019 - researchgate.net
… Machinelearning algorithms have great success in … thirty-year history of machine learning by elaborating on supervised learning, unsupervised learning, reinforcement learning …
… AIME was dominated by knowledge engineering research in its first decade, while machine learning and data mining prevailed thereafter. Together these two themes have contributed …
Although use of machine translation (MT) technologies by learners may seem like a relatively new issue in foreign language (FL) education, researchers have been investigating …
… Figure 1 illustrates our taxonomy of evaluation failures in machinelearning. Our taxonomy can serve as a resource for machinelearning researchers and practitioners to check for …
M Motwani, D Dey, DS Berman, G Germano… - European heart …, 2017 - academic.oup.com
… Ten thousand and thirty stable patients with suspected CAD and with 5-year follow-up from the COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational …
… symbolic techniques to those based on MachineLearning approaches, especially those based … Wide Web, and six apply machinelearning techniques to a variety of legal applications. …
A Tontodimamma, E Nissi, A Sarra, L Fontanella - Scientometrics, 2021 - Springer
… of publications during the last thirtyyears. Topic and network … detection and classification by machine-learning strategies”, … the relevance of machinelearning approaches to correctly …
… Deep learning represents a subcategory of machinelearning that is focused … -learning-based machinelearning as classical machinelearning (classical ML), whereas machinelearning …
… the task of legal summarization as a machinelearning problem of identifying different zones … They show superior results to summarization utilizing the set of machinelearning algorithms …