Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "concept learning"

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Determining Computer Architectures and Compiler Structures Through Inductive Inference: A Preliminary Investigation

Stauffer, M. D.; Michalski, Ryszard S. (1983-01)
Initial Study on Handling Constrained Optimization Problems in Learnable Evolution Model

Wojtusiak, Janusz (2006-07)

Learnable Evolution Model (LEM) is an evolutionary computation methodology that applies hypothesis formulation and instantiation to create new individuals. Initial study has shown that LEM significantly outperforms standard ...
Reasoning with Meta-values in AQ Learning

Michalski, Ryszard S.; Wojtusiak, Janusz (2005-06)

This paper describes methods for reasoning with missing, irrelevant and not applicable meta-values in the AQ attributional rule learning. The methods address issues of handling these values in datasets both for rule learning ...

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