… thirty-year history of ML by elaborating on supervised learning, unsupervised learning,
reinforcement learning … We critically review the thirty-year history of ML. Depending on how we …

… Machine learning 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 machine learning. Our taxonomy
can serve as a resource for machine learning researchers and practitioners to check for …

… 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 Machine Learning approaches, especially those
based … Wide Web, and six apply machine learning techniques to a variety of legal applications. …

… of publications during the last thirty years. Topic and network … detection and classification
by machine-learning strategies”, … the relevance of machine learning approaches to correctly …

… Deep learning represents a subcategory of machine learning that is focused … -learning-based
machine learning as classical machine learning (classical ML), whereas machine learning …

… the task of legal summarization as a machine learning problem of identifying different zones
… They show superior results to summarization utilizing the set of machine learning algorithms …