Sentence examples for learning aiming from inspiring English sources

Multi-instance learning (MIL) is one of promising paradigms in the supervised learning aiming to handle real world classification problems where a classification target contains several featured sections, e.g., an image typically contains several salient regions.

In this work, we propose a design protocol to generate a more significant candidate sample set for active learning, aiming at reducing the unlabeled sample search complexity, and eventually improving the classification performance.

The vocational training cluster can be considered different than lifelong learning aiming to connect education and learning with the career options and the workplace environment of the trainees.

Designing educational programs that encourage students to adopt deep approaches to learning, aiming for higher order understanding, and application of learning in new contexts has been shown to be very difficult [ 15, 16].

Representation learning aims to achieve that a reasonably sized learned representation can capture a huge number of possible input configurations, which can greatly facilitate improvements in both computational efficiency and statistical efficiency [25].

He argues that test-prep can be much more than rote learning aimed at achieving a superficial score.

Active learning aims to select the most informative subjects for labeling to decrease the amount of labeling requests.

Representation, the first building block of deliberative policy learning, aims at facilitating the inclusion of those subject to a decision, and especially of competing voices.

Programme redesign adopted a blended learning approach with both face-to-face and online learning aimed at enhancing the students' control over their own learning.

Another course, "Teaching and Learning," aims to replicate the same kinds of inquiries that led Jones to discover magic as a vital topic in his own student days.

We will present an original architecture that combines reinforcement learning and Hebbian learning, aimed at simulating forms of moral behavior in a simple artificial context.