From Computational Learning Theory to Discovery Science

From Computational Learning Theory to Discovery Science (1999)

by Osamu Watanabe

Citations:

5 - 3 self

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Datum	Value	Source
TITLE	From Computational Learning Theory to Discovery Science	user correction - Legacy Corrections
AUTHOR NAME	Osamu Watanabe	user correction - Legacy Corrections
ABSTRACT	. Machine learning has been one of the important subjects of AI that is motivated by many real world applications. In theoretical computer science, researchers also have introduced mathematical frameworks for investigating machine learning, and in these frameworks, many interesting results have been obtained. Now we are proceeding to a new stage to study how to apply these fruitful theoretical results to real problems. We point out in this paper that \adaptivity" is one of the important issues when we consider applications of learning techniques, and we propose one learning algorithm with this feature. 1 Introduction Discovery science 1 is a new area of computer science that aims at (i) developing eÆcient computational methods which enable automatic discoveries of scientic knowledge and decision making rules and (ii) understanding all the issues concerned with this goal. Of course, discovery science involves many areas, from practical to theoretical, of computer science. For exampl...	user correction - Legacy Corrections
YEAR	1999	user correction - Legacy Corrections
CITATIONS	17 found	ParsCit 1.0