Learning Concept Lengths Accelerates Concept Learning in ALC

Concept Learning

Concepts are mental representations of kinds of objects, events, or ideas. We have concepts because they allow us to see something as a kind of thing rather than just as a unique individual. Concepts allow generalization from past experiences: By treating something as a kind—as an instantiation of some concept—as a member of some category—we can use what we have learned from other examples of t...

Concept Learning

One of the bottlenecks of the ontology construction process is the amount of work required with various figures playing a role in it: domain experts contribute their knowledge that has to be formalized by knowledge engineers so that it can be mechanized. As the gap between these roles likely makes the process slow and burdensome, this problem may be tackled by resorting to machine learning tech...

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...

Concept maps and meaningful learning in medical education

Concept Learning and Learning Strategies

Ab,stract—Concept learning and learning .strategies of pigeons were titanipnkited in a ntatching-to-sampie task. Groups of 4 pigeons responded either 0. 1. W. or 20 times to a sample stimulus, and then chose between a matching cotnparison stimulus and a ttonmatching comparison stimulus. Tests with unfamiliar arrangements of the three training stimuli .showed that learning n-as not hy if-then ru...