… Machine learning approaches (eg, neural networks, hidden … The goal in machine learning
is to extract useful information … present the key machine learning approaches and apply them …

… In this paper, we systematically reviewed the emerging field of using a machine learning
approach for precision education. After a series of screening steps, a total of 40 studies …

… Importantly, the translational machine learning approaches discussed in this paper explicitly
aim to produce models that are sufficiently meaningful, accurate, and generalizable to be …

… broad spectrum of applications for machine-learning methods in computer-… approaches
and to highlight their applications. Here, I survey the most popular machine-learning approaches …

… machine learning techniques to support the acquisition and adaptation of workflow models.
The different learning … Different approaches combining machine learning and workflow …

… the algorithm, we discuss our approach to learning it in detail in the next paragraph. … learning.
In the section below we discuss two approaches, grammar induction and relational learning…

… using machine learning, we derive a feature detector from this which can fully process live
PAL video using less than 5 percent of the available processing time. By comparison, most …

… to existing approaches to reading level assessment. … data used, the details of the approach
and the experiment results. … and supporting the use of machine learning as means of tuning …

… We show how information extraction can be cast as a standard machine learning problem,
and argue for the suitability of relational learning in solving it. The implementation of a general…

… machine learning is to instruct computers to use data or past experience to solve a given
problem. A good number of successful applications of machine learning … Machine learning can …