… 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 …

… machine learning techniques. Moreover, these authors introduce an LC model enhanced …
machine learning, whereby an additional set of LC parameters, derived from machine learning, …

… 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 …

… 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-…

… on machine learning and artificial intelligence have spectacularly demonstrated. As we
celebrate the ingenuity of these contemporary methodologies, we remind ourselves that their …

… scientific research that guides the effective use of online learning? This review summarizes
our progress over the past 30 years in understanding how to help people learn in technology-…

… In the past thirty years, the Web deeply impacts all aspects of our lives and the society, …
In the past thirty years, our analysis has shown that the format of scholarly communication has …

… During the 2019 Banff meeting, there was an emphasis on projects with usage of artificial
intelligence, machine learning, and deep learning. There has been focus on classification, …

… From the examples selected, EAs are promising methods for solving complex technological
applications assisted with machine learning AI tools. It was shown in many different …