Induced dimensional set and concept learning

Learning Concept Drift Using Adaptive Training Set Formation Strategy

We live in a dynamic world, where changes are a part of everyday life. When there is a shift in data, the classification or prediction models need to be adaptive to the changes. In data mining the phenomenon of change in data distribution over time is known as concept drift. In this research, the authors propose an adaptive supervised learning with delayed labeling methodology. As a part of thi...

Concept maps and meaningful learning in medical education

Knowledge and Concept Learning 1 Knowledge and Concept Learning

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...

The Concept of a Set

Metaphysical interpretations of set theory are either inconsistent or incoherent. The uses of sets in mathematics actually involve three distinct kinds of collections (surveyable, definite, and heuristic), which are governed by three different kinds of logic (classical, intuitionistic, and minimal). A foundational system incorporating this analysis and based on the principles of mathematical co...