F. Bergadano, F. Bergadano, S. Matwin, S. Matwin, R. S. Michaiski, R. S. Michaiski, ...
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A GENERAL CRITERION FOR MEASURING (2007)
F. Bergadano, S. Matwin, R. S. Michalski, J. Zhang, Francesco Bergadano, Stan Matwin, ...
An important aspect of any learning method is an evaluation of the learned knowledge, in particular, an evaluation of the plausibility and usefulness of concept descriptions that are being created....
F. Bergadano, F. Bergadano, S. Matwin, S. Matwin, R. S. Michalski, R. S. Michalski, ...
A method for learning flexible concepts is described, that is concepts that are imprecise and context dependent. The method is based on a two-tiered concept representation. In such a representation...
Submitted for publication in Machine Learning Journal, 1991 LEARNING TWO-TIERED DESCRIPTIONS (2007)
R. Michalski, F. Bergadano, F. Bergadano, F. Bergadano, S. Matwin, S. Matwin, ...
email: jzhang @ gmuvax2.gmu.edu Machine learning research has so far been primarily concerned with learning crisp concepts, that is concepts that are well-defined and context-independent. Most...
LEARNING FLEXIBLE CONCEPTS USING A TWO-TIERED REPRESENTATION (2007)
R. S. Michalski, R. S. Michalski, F. Bergadano, F. Bergadano, S. Matwin, S. Matwin, ...
'Most human concepts are flexible in the sense that they inherently lack: precise boundaries, and these boundaries are often contextdependent. This chapter describes 'a method for...
R. Michalski, F. Bergadano, F. Bergadano, S. Matwin, R. S. Michalski, J. Zhang, ...
This paper describes a method for learning flexible concepts, by which are meant concepts that lack precise definition and are context-dependent. To describe such concepts, the method employs a...
Defining and Measuring Maintainability (1995)
R. Cheaito, M. Frappier, S. Matwin, A. Mili, D. Crabtree
Maintainability is a measure of the ease with which a software system can be maintained. In this paper we propose a quantitative definition of maintainability, and discuss means to estimate the...
Knowledge Extraction from Text: Machine Learning for Text-to-rule Translation (1993)
J. F. Delannoy, C. Feng, S. Matwin, S. Szpakowicz
Learning from texts is a noble but distant research goal. We investigate the practicality of a more modest enterprise in which machine learning (ML) and natural language processing (NLP) would...