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CLA
2007
13 years 10 months ago
Inducing Decision Trees via Concept Lattices
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...
Radim Belohlávek, Bernard De Baets, Jan Out...
COGSCI
2008
129views more  COGSCI 2008»
13 years 9 months ago
A Rational Analysis of Rule-Based Concept Learning
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...
IVS
2006
86views more  IVS 2006»
13 years 8 months ago
The origins of the concept mapping tool and the continuing evolution of the tool
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...
Joseph D. Novak, Alberto J. Cañas
DILS
2004
Springer
14 years 2 months ago
Domain-Specific Concepts and Ontological Reduction within a Data Dictionary Framework
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...
Barbara Heller, Heinrich Herre, Kristin Lippoldt
KDD
1994
ACM
140views Data Mining» more  KDD 1994»
14 years 26 days ago
A Comparison of Pruning Methods for Relational Concept Learning
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...
Johannes Fürnkranz