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Author Francis, Anthony ♦ Ram, Ashwin
Source CiteSeerX
Content type Text
Publisher Springer
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Present Model ♦ Control-rule Learning ♦ Performance Degrades Performance ♦ Utility Problem ♦ Crl System ♦ Comparative Utility Analysis ♦ Interesting Asymmetry ♦ Threshold Condition ♦ Computational Model ♦ Case-based Reasoning ♦ Control-rule Learning System ♦ Past Learning Experience ♦ Whereas Cbr System Ne
Description The utility problem in learning systems occurs when knowledge learned in an attempt to improve a system's performance degrades performance instead. We present a methodology for the analysis of utility problems which uses computational models of problem solving systems to isolate the root causes of a utility problem, to detect the threshold conditions under which the problem will arise, and to design strategies to eliminate it. We present models of case-based reasoning and control-rule learning systems and compare their performance with respect to the swamping utility problem. Our analysis suggests that case-based reasoning systems are more resistant to the utility problem than control-rule learning systems. 1 1. Introduction An interesting asymmetry exists in the patterns of retrieval in case-based reasoning (CBR) and control-rule learning (CRL) systems: to take advantage of past learning experiences, CRL systems need to retrieve rules from memory at each step, whereas CBR systems ne...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1995-01-01
Publisher Institution In Proceedings of the Eighth European Conference on Machine Learning