The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of cluster...
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...
A research program at Cornell University that sought to study the ability of first and second grade children to acquire basic science concepts and the effect of this learning on l...
This paper describes a new method for the ontologically based standardization of concepts in the medical domain. As an application of this method we developed a data dictionary whi...
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...