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Assessment of Classification Algorithms in Artificial Intelligence - Tapa blanda

Brumen, Boštjan

 
9783659562518: Assessment of Classification Algorithms in Artificial Intelligence
Tapa blanda
ISBN 10: 3659562513 ISBN 13: 9783659562518
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

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 learning progress, called adaptive incremental k-fold cross-validation is presented, together with other tools and techniques needed to observe artificial learners on their course of learning. Early observations can be used to forecast the future performance of a learner based on a small training sample.

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Reseña del editor

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 learning progress, called adaptive incremental k-fold cross-validation is presented, together with other tools and techniques needed to observe artificial learners on their course of learning. Early observations can be used to forecast the future performance of a learner based on a small training sample.

Biografía del autor

Dr. Boštjan 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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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659562513
ISBN 13 
9783659562518
Encuadernación
Tapa blanda
Número de páginas
172
Contacto del fabricante
no disponible
Persona responsable
no disponible