Sentence examples for learning decisions from inspiring English sources

CoDIPAS-RL learning framework is used for layer specific learning decisions.

However, less study has been carried out about how collectivism and collective group potency affect individual learning decisions, especially using the technique of Hierarchical Linear Modeling (HLM) for cross-level analysis, which provides the solution of case dependency between group members.

Trying to interpret the mystery behind why deep learning decisions are made has proven to be quite difficult.

Littlewood's (1999) distinction of proactive and reactive autonomy indicates that the former helps learners make their own learning decisions, whereas the latter only enables learners to be flexible within the limitations already set by external agencies.

There are four key issues to enabling personalized learning through information technologies as follows: make informed learning decisions by students, develop and diversify different knowledge and skills, create various learning environments, and focus the evaluation and feedback from students (Green et al. 2005).

These compacts, in theory, would provide all stakeholders with an agreed-upon vision for educational outcomes, teaching practices, and decision-making processes, with most teaching and learning decisions made at the school level.

Several challenges remain for deploying deep learning decision support systems.

Emotions drive learning, decision making, creativity, relationships, and health.

Apparently EA hopes it will, "provide children with a way to engage with computers while learning decision-making skills".

Covered aspects of data mining include discretization, column pruning (also known as feature selection), row pruning, clustering, contrast set learning, decision learning, and learning for continuous classes.

This paper proposes a novel classification algorithm for learning decision tree classifiers from data with hierarchical class labels.