Assessment of Classification Algorithms in Artificial Intelligence
In the area of artificial learners, not much research on the question of an appropriate description of artificial learner's (empirical) performance has been conducted. The optimal solution of describing a learning problem would be a functional dependency between the data, the learning algorithm's internal specifics and its performance. Unfortunately, a general, restrictions-free theory on performance of arbitrary artificial learners has not been developed yet. This work addresses the problem of measuring and observing the artificial learners, specifically the decision trees produced by the C4.5 algorithm. A procedure for measuring the learnin…
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Produktdetails
- ISBN: 978-3-659-56251-8
- EAN: 9783659562518
- Produktnummer: 37423264
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 172 S.
- Masse: H22.0 cm x B15.0 cm x D1.0 cm 274 g
- Abbildungen: Paperback
- Gewicht: 274
Über den Autor
Dr. BoStjan Brumen has obtained his PhD in Informatics in 2004. Since then he has worked in in several data-related international projects. His research interests include artificial intelligence, machine learning and learning progress. He is the author of several articles published in top journals, including Journal of Medical Internet Research.
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