… 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 …

… 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 …

… 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 …

… 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. …

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 …

… The third decade was marked by the rise of machine learning approaches to AI and Law
tasks. Although the first two papers discussed concerns continuing from the previous decade, …

… We applied a machine learning algorithm developing a new GPP dataset for China with 0.1
spatial resolution and monthly temporal frequency based on eddy flux measurements from …

… in a machine learning approach (model tree ensemble, MTE). We showed that the mean
annual ET over China is 552 ± 14 mm yr −1 , which is comparable to the estimate from a MTE-…

… a supervised machine learning method, which requires a training set with previously (likely
manually) classified articles. In contrast, we use an unsupervised machine learning method …