Abstract
As a result of the ongoing development of non-invasive analysis of brain function, detailed brain images can be obtained, from which the relations between brain areas and brain functions can be understood. Researchers are trying to heuristically discover the relations between brain areas and brain functions from brain images. As the relations between brain areas and brain functions are described by rules, the discovery of relations between brain areas and brain functions from brain images is the discovery of rules from brain images. The discovery of rules from brain images is a discovery of rules from pattern data, which is a new field different from the discovery of rules from symbolic data or numerical data. This paper presents an algorithm for the discovery of rules from brain images. The algorithm consists of two steps. The first step is nonparametric regression. The second step is rule extraction from the linear formula obtained by the nonparametric regression. We have to confirm that the algorithm works well for artificial data before the algorithm is applied to real data. This paper shows that the algorithm works well for artificial data
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References
Eubank, R.L.: Spline Smoothing and Nonparametric Regression. Marcel Dekker, New York (1988)
Miwa, T.:private communication (1998)
Posner, M.I., Raichle, M.E.: Images of Mind. W H Freeman & Co (1997)
Quinlan, J.R.: Induction of decision tree. Machine Learning 1 (1986) 81–106
Tsukimoto, H.: The discovery of logical propositions in numerical data. AAAI’94 Workshop on Knowledge Discovery in Databases (1994) 205–216
Tsukimoto, H.: On continuously valued logical functions satisfying all axioms of classical logic. Systems and Computers in Japan, Vol.25, No.12. (1994) 33–41
Tsukimoto, H., Morita, C., Shimogori, N.: An Inductive Learning Algorithm Based on Regression Analysis. Systems and Computers in Japan, Vol.28, No.3. (1997) 62–70
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© 1998 Springer-Verlag Berlin Heidelberg
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Tsukimoto, H., Morita, C. (1998). The Discovery of Rules from Brain Images. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_18
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DOI: https://doi.org/10.1007/3-540-49292-5_18
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