DocumentCode :
2306306
Title :
The impact of different types of impurity on theory-softening
Author :
Wasif, Abu ; Hossain, Mohammad Sajjad ; Muslim, Nasif
Author_Institution :
Bangladesh Univ. of Eng. & Technol., Dhaka
fYear :
2007
fDate :
27-29 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
Theory-softening is a novel way of utilization of imperfect domain theories. Soft interpretation of given flawed theories provides a way of classifying examples despite the presence of impurities in the theory. However, theory-softening is not equally successful for all possible types of flaws present. This paper investigates the performance of theory-softening and finds that while it is useful for impurities introducing over-specificity, it can become unhelpful and cause degraded performance for impurities introducing over-generality.
Keywords :
learning (artificial intelligence); pattern classification; probability; flawed theories; imperfect domain theories; machine learning; pattern classification; probabilistic theory revision; soft interpretation; theory-softening; Degradation; Expert systems; Impurities; Knowledge engineering; Machine learning; Robustness; Softening; Theory revision; impurities; theory-softening;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and information technology, 2007. iccit 2007. 10th international conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-1550-2
Electronic_ISBN :
978-1-4244-1551-9
Type :
conf
DOI :
10.1109/ICCITECHN.2007.4579356
Filename :
4579356
Link To Document :
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