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

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

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  • An Adjustable Description Quality Measure for Pattern Discovery in Large Databases Using the AQ Methodology 
    Kaufman, Kenneth A.; Michalski, Ryszard S. (2000-03)
    In concept learning and data mining tasks, the learner is typically faced with a choice of many possible hypotheses or patterns characterizing the input data. If one can assume that training data contain no noise, then ...
  • Generating Alternative Hypotheses in AQ Learning 
    Michalski, Ryszard S. (2004-12)
    In many areas of application of machine learning and data mining, it is desirable to generate alternative inductive hypotheses from the given data. The Aq-ALT or, briefly, ALT method, presented in this paper, generates ...
  • Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results 
    Cervone, Guido; Michalski, Ryszard S. (2002-06)
    The paper describes recent results from developing and testing LUS methodology for user modeling. LUS employs AQ learning for automatically creating user models from datasets representing activities of computer users. The ...
  • Multitype Pattern Discovery Via AQ21: A Brief Description of the Method and Its Novel Features 
    Wojtusiak, Janusz; Michalski, Ryszard S.; Kaufman, Kenneth A.; Pietrzykowski, Jaroslaw (2006-06)
    The AQ21 program seeks different types of patterns in data and represents them in human-oriented forms resembling natural language descriptions. Because of the latter feature it is called a natural induction program. This ...
  • 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 ...
  • Semantic and Syntactic Attribute Types in AQ Learning 
    Michalski, Ryszard S.; Wojtusiak, Janusz (2007-11-18)
    AQ learning strives to perform natural induction that aims at deriving general descriptions from specific data and formulating them in human-oriented forms. Such descriptions are in the forms closely corresponding to simple ...

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