Can Machine Learning Solve my Problem?

URI	http://purl.tuc.gr/dl/dias/E242B83A-0711-4BE9-942B-B534C54C286A	-
Identifier	https://doi.org/10.1080/08839519408945431	-
Language	en	-
Title	Can Machine Learning Solve my Problem?	en
Creator	Moustakis Vasilis	en
Creator	Μουστακης Βασιλης	el
Creator	YVES KODRATOFF	en
Creator	NICOLAS GRANER	en
Publisher	Taylor & Francis	en
Content Summary	An important issue to consider when applying machine learning to real world problems is the selection of an appropriate learning tool from the large set of available techniques. Building on our experience with the Machine Learning Toolbox, we propose a set of taxonomies that allow a domain expert, with little or no knowledge of machine learning, to choose a suitable tool for his particular application. Unlike previous classifications of learning systems, which were based on technical characteristics of these systems, ours relies on features of the applications that can be solved, such as the user's goal, available data and background knowledge, and interaction between the system and its user.	en
Type of Item	Peer-Reviewed Journal Publication	en
Type of Item	Δημοσίευση σε Περιοδικό με Κριτές	el
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2015-10-16	-
Date of Publication	1994	-
Bibliographic Citation	Y. Kodratoff, V. Moustakis & N. Graner, (1994)." Can Machine Learning Solve my Problem? Applied Artificial Intelligence": An International Journal, Vol. 8, Iss. 1, pp 1-31, DOI: 10.1080/08839519408945431	en

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